Santosh Putta

1.2k citations
38 papers · 866 · h-index 18

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • Protein Structure and Dynamics 5
    • Acute Myeloid Leukemia Research 16
    • Hematopoietic Stem Cell Transplantation 3

Santosh Putta

35 papers receiving 808 citations

Peers

Santosh Putta
Comparison fields: 5 of 120
  • Computational Theory and Mathematics 382
  • Hematology 94
  • Molecular Biology 403
  • Drug Discovery 1
  • Spectroscopy 79
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Agnieszka Szwajda Finland
Chaya Duraiswami United States
Xiaoyu Ding China
Dingyan Wang China
Ziaurrehman Tanoli Finland
Philip J. Merta United States
Christopher N. Johnson United Kingdom
Florian Nigsch Switzerland
Miquel Duran‐Frigola Spain
Yu‐Chen Lo United States
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Citations per field
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Citations per year

Countries citing papers authored by Santosh Putta

Since Specialization
Citations

This map shows the geographic impact of Santosh Putta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Santosh Putta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santosh Putta more than expected).

Fields of papers citing papers by Santosh Putta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Santosh Putta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Santosh Putta. The network helps show where Santosh Putta may publish in the future.

Co-authors

The 25 scholars most cited alongside Santosh Putta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Santosh Putta Line = papers co-authored together Santosh Putta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003257
2 200473
3 201046
4 201342
5 200439
6 201236
7 200234
8 200332
9
Building predictive ADMET models for early decisions in drug discovery.
200429
10 200727
11 201024
12 201024
13 201223
14 200223
15 200523
16 200720
17 200317
18 200117
19 201411
20 20248

About Santosh Putta

Santosh Putta is a scholar working on Molecular Biology, Hematology, Computational Theory and Mathematics, Oncology and Pharmacology, having authored 38 papers that have together received 866 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Computational Drug Discovery Methods (12 papers), Single-cell and spatial transcriptomics (5 papers), Protein Structure and Dynamics (5 papers), CAR-T cell therapy research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Microbial Natural Products and Biosynthesis (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Computational Theory and Mathematics (382 citations), Hematology (94 citations), Molecular Biology (403 citations), Drug Discovery (1 citation) and Spectroscopy (79 citations). Santosh Putta has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Christian Lemmen, Michael Mathieson, Manfred K. Warmuth, Jun Liao, Gunnar Rätsch, Julie E. Penzotti, Gregory A. Landrum, Alessandra Cesano, Paul Beroza and John Eksterowicz. Their work appears in journals such as Blood, PLoS ONE, Journal of Medicinal Chemistry, Transplantation and Cellular Therapy and Journal of Translational Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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