World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
63
Citations
15270
World Ranking
10148
National Ranking
4437

Chemistry

D-Index
63
Citations
14473
World Ranking
8405
National Ranking
2419

Robert Powers publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Robert Powers sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 238 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Robert Powers D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Robert Powers sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 63 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1969 - Fellow of Alfred P. Sloan Foundation

Overview

Robert Powers is affiliated with the University of Nebraska-Lincoln in the United States. Their research primarily spans the fields of Biochemistry, Genetics, and Molecular Biology, with significant contributions also in Medicine. Within these broader domains, Powers focuses on specialized subfields including Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

Their main topics of work cover an extensive range of areas related to chemical and biomedical analysis. These include Metabolomics and Mass Spectrometry Studies, Advanced Chemical Sensor Technologies, Analytical Chemistry and Chromatography, Traditional Chinese Medicine Studies, Effects of Radiation Exposure, Isotope Analysis in Ecology, and Game Theory and Voting Systems.

Frequently publishing in various scientific journals, Powers has contributed notable papers such as:

  • "NMR and Metabolomics-A Roadmap for the Future" (2022, Metabolites)
  • "Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications" (2020, Molecules)
  • "The application of machine-learning and Raman spectroscopy for the rapid detection of edible oils type and adulteration" (2021, Food Chemistry)
  • "Cancer-associated fibroblast-derived acetate promotes pancreatic cancer development by altering polyamine metabolism via the ACSS2-SP1-SAT1 axis" (2024, Nature Cell Biology)
  • "Multiplatform untargeted metabolomics" (2023, Magnetic Resonance in Chemistry)

Their frequent co-authors, with whom they have collaborated multiple times, include Fatema Bhinderwala, Darcy Cochran, Heidi E. Roth, Isin T. Sakallioglu, and Aline de Lima Leite.

Powers often publishes in venues such as Scientific Reports, Analytical Chemistry, Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature, Metabolites, and Molecules.

Recognized by professional bodies, Powers is a Fellow of the American Association for the Advancement of Science (AAAS) since 2016 and was named a Fellow of the Alfred P. Sloan Foundation in 1969.

Best Publications

  • Multivariate Analysis in Metabolomics.

    Bradley Worley;Robert Powers

  • The future of NMR-based metabolomics.

    John L Markley;Rafael Brüschweiler;Arthur S Edison;Hamid R Eghbalnia

  • A common sense approach to peak picking in two-, three-, and four-dimensional spectra using automatic computer analysis of contour diagrams

    Daniel S. Garrett;Robert Powers;Angela M. Gronenborn;G. Marius Clore

  • MUC1 and HIF-1alpha Signaling Crosstalk Induces Anabolic Glucose Metabolism to Impart Gemcitabine Resistance to Pancreatic Cancer.

    Surendra K. Shukla;Vinee Purohit;Kamiya Mehla;Venugopal Gunda

  • PCA as a practical indicator of OPLS-DA model reliability.

    Bradley Worley;Robert Powers

  • Automated analysis of protein NMR assignments using methods from artificial intelligence

    Diane E. Zimmerman;Casimir A. Kulikowski;Yuanpeng Huang;Wenqing Feng

  • Protein NMR recall, precision, and F-measure scores (RPF scores): structure quality assessment measures based on information retrieval statistics.

    Yuanpeng J. Huang;Robert Powers;Gaetano T. Montelione

  • Metabolic reprogramming induced by ketone bodies diminishes pancreatic cancer cachexia

    Surendra K Shukla;Teklab Gebregiworgis;Vinee Purohit;Vinee Purohit;Nina V Chaika

  • Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics.

    Darrell D. Marshall;Robert Powers

  • Three-dimensional solution structure of human interleukin-4 by multidimensional heteronuclear magnetic resonance spectroscopy.

    Robert Powers;Daniel S. Garrett;Carl J. March;Eric A. Frieden

  • Increased Resolution and Improved Spectral Quality in Four-Dimensional 13C/13C-Separated HMQC-NOESY-HMQC Spectra Using Pulsed Field Gradients

    G.W. Vuister;G.M. Clore;A.M. Gronenborn;R. Powers

  • Amino Acid Catabolism in Staphylococcus aureus and the Function of Carbon Catabolite Repression

    Cortney R. Halsey;Shulei Lei;Jacqueline K. Wax;Mckenzie K. Lehman

  • MUC1 mucin stabilizes and activates hypoxia-inducible factor 1 alpha to regulate metabolism in pancreatic cancer

    Nina V. Chaika;Teklab Gebregiworgis;Michelle E. Lewallen;Vinee Purohit

  • Utilities for quantifying separation in PCA/PLS-DA scores plots.

    Bradley Worley;Steven M Halouska;Robert Powers

  • NMR and Metabolomics—A Roadmap for the Future

    Unknown

  • Three-dimensional triple-resonance NMR of 13C/15N-enriched proteins using constant-time evolution

    Robert Powers;Angela M Gronenborn;G Marius Clore;Ad Bax

  • O-GlcNAc Transferase Suppresses Inflammation and Necroptosis by Targeting Receptor-Interacting Serine/Threonine-Protein Kinase 3.

    Xinghui Li;Wei Gong;Hao Wang;Tianliang Li

  • Metabolic Dysfunction in Parkinson’s Disease: Bioenergetics, Redox Homeostasis and Central Carbon Metabolism

    Annadurai Anandhan;Maria S. Jacome;Shulei Lei;Pablo Hernandez-Franco

  • Application of NMR Metabolomics to Search for Human Disease Biomarkers

    Teklab Gebregiworgis;Robert Powers

  • Mitochondrial dysfunction in glial cells: Implications for neuronal homeostasis and survival.

    Jordan Rose;Christian Brian;Jade Woods;Aglaia Pappa

  • Properly oriented heparin-decasaccharide-induced dimers are the biologically active form of basic fibroblast growth factor.

    Franklin J. Moy;Michal Safran;Andrew P. Seddon;Doug Kitchen

  • The High-Resolution, Three-Dimensional Solution Structure of Human Interleukin-4 Determined by Multidimensional Heteronuclear Magnetic Resonance Spectroscopy?,$

    Powers R;Garrett Ds;March Cj;Frieden Ea

  • Erratum: MUC1 and HIF-1alpha Signaling Crosstalk Induces Anabolic Glucose Metabolism to Impart Gemcitabine Resistance to Pancreatic Cancer (Cancer Cell (2017) 32(1) (71–87.e7) (S1535610817302544) (10.1016/j.ccell.2017.06.004))

    Surendra K. Shukla;Vinee Purohit;Kamiya Mehla;Venugopal Gunda

Frequent Co-Authors

Gaetano T. Montelione
Gaetano T. Montelione Rensselaer Polytechnic Institute
Angela M. Gronenborn
Angela M. Gronenborn University of Pittsburgh
Rodrigo Franco
Rodrigo Franco University of Nebraska–Lincoln
G. Marius Clore
G. Marius Clore National Institutes of Health
Ronald L. Cerny
Ronald L. Cerny University of Nebraska–Lincoln
Carl J. March
Carl J. March Amgen (United States)
Rong Xiao
Rong Xiao Rutgers, The State University of New Jersey
Paul D. Fey
Paul D. Fey University of Nebraska Medical Center
Kenneth W. Bayles
Kenneth W. Bayles University of Nebraska Medical Center
Michael A. Hollingsworth
Michael A. Hollingsworth University of Nebraska Medical Center

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