Sri Krishna

3.0k total citations
36 papers, 1.0k citations indexed

About

Sri Krishna is a scholar working on Public Health, Environmental and Occupational Health, Oncology and Immunology. According to data from OpenAlex, Sri Krishna has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 14 papers in Oncology and 13 papers in Immunology. Recurrent topics in Sri Krishna's work include Malaria Research and Control (16 papers), Mosquito-borne diseases and control (15 papers) and CAR-T cell therapy research (11 papers). Sri Krishna is often cited by papers focused on Malaria Research and Control (16 papers), Mosquito-borne diseases and control (15 papers) and CAR-T cell therapy research (11 papers). Sri Krishna collaborates with scholars based in United States, India and Spain. Sri Krishna's co-authors include Karen S. Anderson, Praveen K. Bharti, Neeru Singh, Himanshu Singh Chandel, Venkatachalam Udhayakumar, Jin G. Park, Radwa Ewaisha, Samira Kiani, Farzaneh Moghadam and Mo R. Ebrahimkhani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sri Krishna

33 papers receiving 990 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sri Krishna United States 13 474 393 388 263 97 36 1.0k
Andrea J. Radtke United States 18 349 0.7× 694 1.8× 150 0.4× 349 1.3× 51 0.5× 28 1.2k
Barbara Aufiero United States 12 399 0.8× 336 0.9× 187 0.5× 159 0.6× 111 1.1× 13 1.0k
Shinji L. Okitsu United States 13 297 0.6× 709 1.8× 88 0.2× 277 1.1× 49 0.5× 21 1.2k
Kim L. Nelson Canada 14 444 0.9× 598 1.5× 212 0.5× 121 0.5× 75 0.8× 18 1.2k
Geoffrey T. Hart United States 14 311 0.7× 551 1.4× 113 0.3× 431 1.6× 85 0.9× 30 1.0k
Penny Groves Australia 19 232 0.5× 692 1.8× 182 0.5× 176 0.7× 38 0.4× 35 1.0k
Hana Schmeisser United States 14 318 0.7× 384 1.0× 161 0.4× 106 0.4× 38 0.4× 24 822
Shanshan Wu Howland Singapore 17 238 0.5× 494 1.3× 129 0.3× 697 2.7× 47 0.5× 30 1.2k
David Tamang United States 14 1.3k 2.8× 401 1.0× 637 1.6× 87 0.3× 50 0.5× 37 1.8k
Tianqian Zhang United States 13 257 0.5× 403 1.0× 443 1.1× 43 0.2× 28 0.3× 22 850

Countries citing papers authored by Sri Krishna

Since Specialization
Citations

This map shows the geographic impact of Sri Krishna'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 Sri Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sri Krishna more than expected).

Fields of papers citing papers by Sri Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sri Krishna. 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 Sri Krishna. The network helps show where Sri Krishna may publish in the future.

Co-authorship network of co-authors of Sri Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Sri Krishna. A scholar is included among the top collaborators of Sri Krishna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sri Krishna. Sri Krishna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Fletcher, Ashley A., Julia Button, Tao Wang, et al.. (2025). A platform for multisite immune profiling of premetastatic pancreatic cancer at single-cell resolution. Cancer Immunology Immunotherapy. 74(9). 291–291.
3.
4.
Chatani, Praveen D., Frank J. Lowery, Neilesh B. Parikh, et al.. (2023). Cell surface marker-based capture of neoantigen-reactive CD8+ T-cell receptors from metastatic tumor digests. Journal for ImmunoTherapy of Cancer. 11(5). e006264–e006264. 13 indexed citations
5.
Hanada, Ken‐ichi, Chihao Zhao, Jared J. Gartner, et al.. (2022). A phenotypic signature that identifies neoantigen-reactive T cells in fresh human lung cancers. Cancer Cell. 40(5). 479–493.e6. 90 indexed citations
6.
Krishna, Sri, et al.. (2022). Limited genetic diversity and expression profile of Plasmodium falciparum haem detoxification protein: a possible diagnostic target. Transactions of the Royal Society of Tropical Medicine and Hygiene. 116(12). 1162–1171. 5 indexed citations
7.
Gartner, Jared J., Maria R. Parkhurst, Alena Gros, et al.. (2021). A machine learning model for ranking candidate HLA class I neoantigens based on known neoepitopes from multiple human tumor types. Nature Cancer. 2(5). 563–574. 56 indexed citations
8.
Lowery, Frank J., Sri Krishna, Rami Yossef, et al.. (2021). Abstract 127: Single cell mapping of tumor infiltrating lymphocytes enables neoantigen-reactive T cell identification in metastatic human cancer. Cancer Research. 81(13_Supplement). 127–127. 1 indexed citations
9.
Ranjit‬, Manoranjan, Madhusmita Bal, Hemant Kumar Khuntia, et al.. (2020). Sequence Analysis of the K13‐Propeller Gene in Artemisinin Challenging Plasmodium falciparum Isolates from Malaria Endemic Areas of Odisha, India: A Molecular Surveillance Study. BioMed Research International. 2020(1). 8475246–8475246. 6 indexed citations
10.
Paria, Biman C., Noam Levin, Frank J. Lowery, et al.. (2020). Rapid Identification and Evaluation of Neoantigen-reactive T-Cell Receptors From Single Cells. Journal of Immunotherapy. 44(1). 1–8. 21 indexed citations
11.
Krishna, Sri, et al.. (2020). Diversity and expression of Plasmodium falciparum var gene in severe and mild malaria cases from Central India. International Journal of Infectious Diseases. 103. 552–559. 5 indexed citations
12.
Hibbert, Jacqueline M., Sri Krishna, Fengxia Yan, et al.. (2020). Association of EPCR Polymorphism rs867186-GG With Severity of Human Malaria. Frontiers in Genetics. 11. 56–56. 6 indexed citations
13.
Ewaisha, Radwa, Farzaneh Moghadam, Sri Krishna, et al.. (2019). Multifunctional CRISPR-Cas9 with engineered immunosilenced human T cell epitopes. Nature Communications. 10(1). 1842–1842. 144 indexed citations
14.
Krishna, Sri, Eric Wilson, Falguni Parikh, et al.. (2018). Human Papilloma Virus Specific Immunogenicity and Dysfunction of CD8+ T Cells in Head and Neck Cancer. Cancer Research. 78(21). 6159–6170. 59 indexed citations
15.
Chen, Meixuan, Barbara A. Pockaj, Mariacarla Andreozzi, et al.. (2018). JAK2 and PD-L1 Amplification Enhance the Dynamic Expression of PD-L1 in Triple-negative Breast Cancer. Clinical Breast Cancer. 18(5). e1205–e1215. 52 indexed citations
16.
17.
Krishna, Sri, et al.. (2017). A rare case of quadruple malaria infection from the highly malaria-endemic area of Bastar, Chhattisgarh, India. PLoS neglected tropical diseases. 11(7). e0005558–e0005558. 11 indexed citations
18.
Krishna, Sri & Karen S. Anderson. (2016). T-Cell Epitope Discovery for Therapeutic Cancer Vaccines. Methods in molecular biology. 1403. 779–796. 9 indexed citations
19.
Bharti, Praveen K., et al.. (2016). Prevalence of pfhrp2 and/or pfhrp3 Gene Deletion in Plasmodium falciparum Population in Eight Highly Endemic States in India. PLoS ONE. 11(8). e0157949–e0157949. 109 indexed citations
20.
Prabhat, Navneet Bithel, & Sri Krishna. (2005). Antibacterial activity of Mimusops elengi ( Bakul). SHILAP Revista de lepidopterología. 6(1-3). 59–61. 1 indexed citations

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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