World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
6172
World Ranking
8017
National Ranking
2212

Ram Samudrala publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ram Samudrala sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ram Samudrala D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ram Samudrala sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2010 - National Institutes of Health Director's Pioneer Award

Overview

Ram Samudrala is affiliated with the University at Buffalo, State University of New York in the United States. Their research spans various domains within biochemistry, genetics, and molecular biology, with significant contributions to medicine as well.

The main fields of study of Ram Samudrala encompass:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Within these fields, they have focused on several subfields, including:

  • Molecular Biology
  • Computational Theory and Mathematics
  • Pharmacology
  • Infectious Diseases
  • Pulmonary and Respiratory Medicine

The primary research topics covered by Ram Samudrala include:

  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Microbial Natural Products and Biosynthesis
  • Vaccines and Immunoinformatics Approaches
  • RNA Research and Splicing
  • RNA Modifications and Cancer
  • Pharmacogenetics and Drug Metabolism

Notable recent scientific papers by Ram Samudrala involve collaborations on the following works:

  • "Antiviral Approaches against Influenza Virus," 2023, Clinical Microbiology Reviews
  • "Protein mimetic amyloid inhibitor potently abrogates cancer-associated mutant p53 aggregation and restores tumor suppressor function," 2021, Nature Communications
  • "CANDOCK: Chemical Atomic Network-Based Hierarchical Flexible Docking Algorithm Using Generalized Statistical Potentials," 2020, Journal of Chemical Information and Modeling
  • "Evaluating the performance of drug-repurposing technologies," 2021, Drug Discovery Today
  • "A synthetic small molecule stalls pre-mRNA splicing by promoting an early-stage U2AF2-RNA complex," 2021, Cell Chemical Biology

Ram Samudrala frequently collaborates with several co-authors, among whom the most frequent include:

  • Zackary Falls
  • William Mangione
  • Liana Bruggemann
  • Matthew L. Hudson
  • Melissa Van Norden

The scientist's research outputs have been published in a range of venues, most notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature
  • Journal of Chemical Information and Modeling
  • Drug Discovery Today
  • Molecules

In recognition of their contributions, Ram Samudrala was awarded the National Institutes of Health Director's Pioneer Award in 2010.

Best Publications

  • An all-atom distance-dependent conditional probability discriminatory function for protein structure prediction.

    Ram Samudrala;John Moult

  • Data access for the 1,000 Plants (1KP) project.

    Naim Matasci;Ling Hong Hung;Zhixiang Yan;Eric J. Carpenter

  • Accurate Prediction of Secreted Substrates and Identification of a Conserved Putative Secretion Signal for Type III Secretion Systems

    Ram Samudrala;Fred Heffron;Jason E. McDermott

  • Ab initio construction of protein tertiary structures using a hierarchical approach.

    Yu Xia;Enoch S. Huang;Michael Levitt;Ram Samudrala

  • A GRAPH-THEORETIC ALGORITHM FOR COMPARATIVE MODELING OF PROTEIN STRUCTURE

    Ram Samudrala;Ram Samudrala;John Moult

  • A novel knowledge-based approach to design inorganic-binding peptides

    Ersin Emre Oren;Candan Tamerler;Deniz Sahin;Marketa Hnilova

  • Mouse transcriptome: neutral evolution of 'non-coding' complementary DNAs.

    Jun Wang;Jianguo Zhang;Hongkun Zheng;Jun Li

  • Novel paradigms for drug discovery: computational multitarget screening

    Ekachai Jenwitheesuk;Ekachai Jenwitheesuk;Jeremy A. Horst;Kasey L. Rivas;Wesley C. Van Voorhis

  • Ab initio protein structure prediction using a combined hierarchical approach.

    Ram Samudrala;Yu Xia;Enoch Huang;Michael Levitt

  • Caries induced cytokine network in the odontoblast layer of human teeth

    Orapin V Horst;Orapin V Horst;Jeremy A Horst;Jeremy A Horst;Ram Samudrala;Beverly A Dale

  • Computational prediction of type III and IV secreted effectors in gram-negative bacteria.

    Jason E. McDermott;Abigail L. Corrigan;Elena S. Peterson;Christopher S. Oehmen

  • Structural polymorphism and diversifying selection on the pregnancy malaria vaccine candidate VAR2CSA.

    Joseph Bockhorst;Fangli Lu;Joel H. Janes;Jon Keebler

  • Incorporating background frequency improves entropy-based residue conservation measures

    Kai Wang;Ram Samudrala

  • Structural optimization and de novo design of dengue virus entry inhibitory peptides.

    Joshua M. Costin;Ekachai Jenwitheesuk;Shee Mei Lok;Elizabeth Hunsperger

  • Ab initio fold prediction of small helical proteins using distance geometry and knowledge-based scoring functions.

    Enoch S. Huang;Ram Samudrala;Jay W. Ponder

  • Protein mimetic amyloid inhibitor potently abrogates cancer-associated mutant p53 aggregation and restores tumor suppressor function

    L. Palanikumar;Laura Karpauskaite;Mohamed Al-Sayegh;Ibrahim Chehade

  • Improvement in protein functional site prediction by distinguishing structural and functional constraints on protein family evolution using computational design

    Gong Cheng;Bin Qian;Ram Samudrala;David Baker

  • Improved prediction of HIV-1 protease-inhibitor binding energies by molecular dynamics simulations.

    Ekachai Jenwitheesuk;Ekachai Jenwitheesuk;Ram Samudrala

  • Probing the molecular mechanisms of quartz-binding peptides.

    Ersin Emre Oren;Rebecca Notman;Il Won Kim;John Spencer Evans

  • A combined approach for ab initio construction of low resolution protein tertiary structures from sequence.

    Ram Samudrala;Yu Xia;Michael Levitt;Enoch S Huang

  • Improved protein structure selection using decoy-dependent discriminatory functions

    Kai Wang;Boris Fain;Michael Levitt;Ram Samudrala

  • PROTINFO: new algorithms for enhanced protein structure predictions.

    Ling-Hong Hung;Shing-Chung Ngan;Tianyun Liu;Ram Samudrala

  • CANDO and the infinite drug discovery frontier

    Mark Minie;Gaurav Chopra;Geetika Sethi;Jeremy Horst

Frequent Co-Authors

Gane Ka-Shu Wong
Gane Ka-Shu Wong University of Alberta
Candan Tamerler
Candan Tamerler University of Kansas
Kai Wang
Kai Wang Hebei University
Michael Levitt
Michael Levitt Stanford University
Mehmet Sarikaya
Mehmet Sarikaya University of Washington
Jun Yu
Jun Yu Chinese University of Hong Kong
huanming yang
huanming yang Beijing Genomics Institute
Siqi Liu
Siqi Liu Chinese Academy of Sciences
John Moult
John Moult University of Maryland, College Park
Heng Li
Heng Li Harvard University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Engineering and Technology in the USA opens doors to a variety of related online degrees and professional pathways. Today, many students seek programs that offer flexibility, affordability, and fast entry into growing industries.

For business-minded engineers, a popular choice is an online mba without gmat. This path can help you build management skills while continuing your technical work, with the added benefit of skipping standardized test requirements.

Those interested in overseeing projects or teams may consider a project management online degree. This qualification is highly valued in technology, engineering, and construction sectors.

If you are fascinated by real estate development, there's also the option to pursue a real estate degree. This can complement your engineering background, especially for those keen on infrastructure or urban planning.

For a creative and user-focused approach, an online ux degree can prepare you for careers in designing digital products and experiences, blending technology with design thinking.

Best Scientists Citing Ram Samudrala

Trending Scientists

Recently Published Articles