World's Best Scientists 2026 revealed!
Sai T. Reddy

Sai T. Reddy

D-Index & Metrics

Immunology

D-Index
46
Citations
9604
World Ranking
4597
National Ranking
99

Sai T. Reddy publication distribution in Immunology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Immunology in 2026. The highlighted bar marks where Sai T. Reddy sits on this spectrum.

62–71 publications: 9 scientists 72–81 publications: 23 scientists 82–91 publications: 40 scientists 92–101 publications: 72 scientists 102–111 publications: 86 scientists 112–121 publications: 108 scientists 122–131 publications: 150 scientists 132–141 publications: 160 scientists 142–151 publications: 159 scientists 152–161 publications: 189 scientists 162–171 publications: 166 scientists 172–181 publications: 181 scientists 182–191 publications: 188 scientists 192–201 publications: 187 scientists 202–211 publications: 178 scientists 212–221 publications: 158 scientists 222–231 publications: 168 scientists 232–241 publications: 159 scientists 242–251 publications: 160 scientists 252–261 publications: 148 scientists 262–271 publications: 116 scientists 272–281 publications: 125 scientists 282–291 publications: 115 scientists 292–301 publications: 111 scientists 302–311 publications: 95 scientists 312–321 publications: 97 scientists 322–331 publications: 97 scientists 332–341 publications: 99 scientists 342–351 publications: 96 scientists 352–361 publications: 68 scientists 362–371 publications: 76 scientists 372–381 publications: 71 scientists 382–391 publications: 71 scientists 392–401 publications: 62 scientists 402–411 publications: 54 scientists 412–421 publications: 41 scientists 422–431 publications: 63 scientists 432–441 publications: 53 scientists 442–451 publications: 31 scientists 452–461 publications: 42 scientists 462–471 publications: 40 scientists 472–481 publications: 29 scientists 482–491 publications: 34 scientists 492–501 publications: 30 scientists 502–511 publications: 23 scientists 512–521 publications: 41 scientists 522–531 publications: 29 scientists 532–541 publications: 28 scientists 542–551 publications: 16 scientists 552–561 publications: 18 scientists 562–571 publications: 18 scientists 572–581 publications: 17 scientists 582–591 publications: 17 scientists 592–601 publications: 17 scientists 602–611 publications: 19 scientists 612–621 publications: 13 scientists 622–631 publications: 12 scientists 632–641 publications: 11 scientists 642–651 publications: 16 scientists 652–661 publications: 9 scientists 662–671 publications: 5 scientists 672–681 publications: 13 scientists 682–691 publications: 12 scientists 692–701 publications: 6 scientists 702–711 publications: 6 scientists 712–721 publications: 9 scientists 722–731 publications: 9 scientists 732–741 publications: 6 scientists 742–751 publications: 11 scientists 752–761 publications: 10 scientists 762–771 publications: 7 scientists 772–781 publications: 12 scientists 782–791 publications: 7 scientists 792–801 publications: 5 scientists 802–806 publications: 1 scientists 807+ publications: 100 scientists
62 publications 807+

This scientist: 160 publications — 20th percentile

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

The last bar groups every scientist with 807 publications or more.

Sai T. Reddy D-index placement in Immunology in 2026

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

40–41 D-Index: 28 scientists 42–43 D-Index: 91 scientists 44–45 D-Index: 157 scientists 46–47 D-Index: 192 scientists 48–49 D-Index: 175 scientists 50–51 D-Index: 188 scientists 52–53 D-Index: 177 scientists 54–55 D-Index: 155 scientists 56–57 D-Index: 194 scientists 58–59 D-Index: 201 scientists 60–61 D-Index: 197 scientists 62–63 D-Index: 201 scientists 64–65 D-Index: 173 scientists 66–67 D-Index: 167 scientists 68–69 D-Index: 172 scientists 70–71 D-Index: 199 scientists 72–73 D-Index: 184 scientists 74–75 D-Index: 133 scientists 76–77 D-Index: 162 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 125 scientists 84–85 D-Index: 121 scientists 86–87 D-Index: 102 scientists 88–89 D-Index: 96 scientists 90–91 D-Index: 75 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 74 scientists 96–97 D-Index: 66 scientists 98–99 D-Index: 68 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 60 scientists 104–105 D-Index: 54 scientists 106–107 D-Index: 36 scientists 108–109 D-Index: 23 scientists 110–111 D-Index: 52 scientists 112–113 D-Index: 41 scientists 114–115 D-Index: 34 scientists 116–117 D-Index: 25 scientists 118–119 D-Index: 28 scientists 120–121 D-Index: 11 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 19 scientists 128–129 D-Index: 20 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 17 scientists 134–135 D-Index: 14 scientists 136–137 D-Index: 15 scientists 138–139 D-Index: 9 scientists 140–141 D-Index: 11 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 9 scientists 146–147 D-Index: 7 scientists 148–149 D-Index: 7 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 5 scientists 154–155 D-Index: 8 scientists 156 D-Index: 6 scientists 157+ D-Index: 96 scientists
40 D-Index 157+

This scientist: 46 D-Index — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 157 D-Index or more.

Best Publications

  • Exploiting lymphatic transport and complement activation in nanoparticle vaccines.

    Sai T Reddy;André J van der Vlies;Eleonora Simeoni;Veronique Angeli;Veronique Angeli

  • In vivo targeting of dendritic cells in lymph nodes with poly(propylene sulfide) nanoparticles

    Sai T. Reddy;Annemie Rehor;Hugo G. Schmoekel;Hugo G. Schmoekel;Jeffrey A. Hubbell

  • Targeting dendritic cells with biomaterials: developing the next generation of vaccines.

    Sai T. Reddy;Melody A. Swartz;Jeffrey A. Hubbell

  • Monoclonal antibodies isolated without screening by analyzing the variable-gene repertoire of plasma cells

    Sai T. Reddy;Xin Ge;Aleksandr E. Miklos;Randall A Hughes

  • Trastuzumab emtansine (T-DM1) renders HER2+ breast cancer highly susceptible to CTLA-4/PD-1 blockade.

    Philipp Müller;Matthias Kreuzaler;Tarik Khan;Daniela S. Thommen;Daniela S. Thommen

  • Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.

    Unknown

  • Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires.

    Unknown

  • A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological status

    Unknown

  • Discrete populations of isotype-switched memory B lymphocytes are maintained in murine spleen and bone marrow.

    René Riedel;Richard Addo;Marta Ferreira-Gomes;Gitta Anne Heinz

  • Hypercholesterolemic mice exhibit lymphatic vessel dysfunction and degeneration.

    Hwee Ying Lim;Joseph M. Rutkowski;Julie Helft;Sai T. Reddy

  • Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.

    Enkelejda Miho;Alexander Yermanos;Cédric R Weber;Christoph T Berger

  • Systems Analysis Reveals High Genetic and Antigen-Driven Predetermination of Antibody Repertoires throughout B Cell Development

    Victor Greiff;Ulrike Menzel;Enkelejda Miho;Cédric Weber

  • Lymphatic drainage function and its immunological implications: From dendritic cell homing to vaccine design

    Melody A. Swartz;Jeffrey A. Hubbell;Sai T. Reddy

  • Aglycosylated IgG variants expressed in bacteria that selectively bind FcγRI potentiate tumor cell killing by monocyte-dendritic cells

    Sang Taek Jung;Sai T. Reddy;Tae Hyun Kang;M. Jack Borrok

  • Large-scale network analysis reveals the sequence space architecture of antibody repertoires

    Unknown

  • Neutralisation sensitivity of the SARS-CoV-2 omicron (B.1.1.529) variant: a cross-sectional study

    Unknown

  • Engineering complement activation on polypropylene sulfide vaccine nanoparticles

    Susan N. Thomas;André J. van der Vlies;Conlin P. O’Neil;Sai T. Reddy

  • Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires.

    Unknown

  • Advanced Methodologies in High-Throughput Sequencing of Immune Repertoires

    Unknown

  • Accurate and predictive antibody repertoire profiling by molecular amplification fingerprinting.

    Unknown

Frequent Co-Authors

Jeffrey A. Hubbell
Jeffrey A. Hubbell New York University
Doron Merkler
Doron Merkler University of Geneva
Tanja Stadler
Tanja Stadler Swiss Institute of Bioinformatics
George Georgiou
George Georgiou The University of Texas at Austin
Alfred Zippelius
Alfred Zippelius University Hospital of Basel
Andreas Radbruch
Andreas Radbruch German Rheumatism Research Centre
Andrew D. Ellington
Andrew D. Ellington The University of Texas at Austin
George M. Church
George M. Church Harvard University
Philippe Renaud
Philippe Renaud École Polytechnique Fédérale de Lausanne

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