Kiren Purushotorman

436 total citations
9 papers, 123 citations indexed

About

Kiren Purushotorman is a scholar working on Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kiren Purushotorman has authored 9 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kiren Purushotorman's work include SARS-CoV-2 and COVID-19 Research (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and COVID-19 Clinical Research Studies (2 papers). Kiren Purushotorman is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and COVID-19 Clinical Research Studies (2 papers). Kiren Purushotorman collaborates with scholars based in Singapore, Australia and United Kingdom. Kiren Purushotorman's co-authors include Paul A. MacAry, Yue Gu, Yee Hwa Wong, Julien Lescar, Xinlei Qian, Nikhil Kumar Tulsian, Mary Kozma, Peter J. Bond, Firdaus Samsudin and Ganesh S. Anand and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and eLife.

In The Last Decade

Kiren Purushotorman

7 papers receiving 122 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kiren Purushotorman Singapore	4	66	49	27	17	14	9	123
Shuyi Song China	8	77 1.2×	55 1.1×	15 0.6×	8 0.5×	15 1.1×	15	149
Qiaoxing Liang China	8	59 0.9×	114 2.3×	23 0.9×	5 0.3×	10 0.7×	11	201
Cho‐Chin Cheng Germany	6	73 1.1×	77 1.6×	20 0.7×	10 0.6×	11 0.8×	8	148
Stacy Gellenoncourt France	5	158 2.4×	88 1.8×	37 1.4×	17 1.0×	15 1.1×	6	229
Kathy Stephens United States	8	87 1.3×	110 2.2×	18 0.7×	7 0.4×	19 1.4×	10	209
Rahila Sardar India	6	140 2.1×	88 1.8×	43 1.6×	15 0.9×	24 1.7×	11	224
Jude Bimela United States	7	102 1.5×	47 1.0×	25 0.9×	5 0.3×	13 0.9×	13	144
Suhas Srinivasan United States	4	138 2.1×	87 1.8×	24 0.9×	38 2.2×	9 0.6×	8	208
Alex Renn United States	6	65 1.0×	33 0.7×	33 1.2×	9 0.5×	11 0.8×	8	183
Kehu Yuan China	3	74 1.1×	49 1.0×	13 0.5×	6 0.4×	25 1.8×	4	135

Countries citing papers authored by Kiren Purushotorman

Since Specialization

Citations

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

Fields of papers citing papers by Kiren Purushotorman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiren Purushotorman

This figure shows the co-authorship network connecting the top 25 collaborators of Kiren Purushotorman. A scholar is included among the top collaborators of Kiren Purushotorman 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 Kiren Purushotorman. Kiren Purushotorman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Tullett, Kirsteen M., et al.. (2026). Intranasal DC-targeting vaccine booster elicits durable and cross-clade protective immunity against sarbecoviruses in mice. Journal of Clinical Investigation. 136(6).

Bae, Ki Hyun, Li Zhang, Andrew Lim, et al.. (2024). Durable cross-protective neutralizing antibody responses elicited by lipid nanoparticle-formulated SARS-CoV-2 mRNA vaccines. npj Vaccines. 9(1). 43–43. 6 indexed citations

Cui, Jianzhou, Nikki Yi Jie Tan, Xinlei Qian, et al.. (2024). Relative deficiency in interferon‐γ‐secreting CD4+ T cells is strongly associated with poorer COVID‐19 vaccination responses in older adults. Aging Cell. 23(4). e14099–e14099. 3 indexed citations

Tulsian, Nikhil Kumar, Xinlei Qian, Yue Gu, et al.. (2023). Defining neutralization and allostery by antibodies against COVID-19 variants. Nature Communications. 14(1). 6967–6967. 6 indexed citations

D’Costa, Matthew R., Emmett Tsz Yeung Wong, Yue Gu, et al.. (2023). Analyzing COVID-19 Vaccine Responses in Transplant Recipients. ImmunoHorizons. 7(10). 708–717.

Lai, Fritz, Kiren Purushotorman, Conrad En Zuo Chan, et al.. (2022). Defining the specificity and function of a human neutralizing antibody for Hepatitis B virus. npj Vaccines. 7(1). 121–121. 3 indexed citations

Purushotorman, Kiren, et al.. (2022). Switching Heavy Chain Constant Domains Denatures the Paratope 3D Architecture of Influenza Monoclonal Antibodies. Pathogens. 12(1). 51–51. 2 indexed citations

Tulsian, Nikhil Kumar, Firdaus Samsudin, Xinlei Qian, et al.. (2021). SARS-CoV-2 S protein:ACE2 interaction reveals novel allosteric targets. eLife. 10. 80 indexed citations

Gu, Yue, Yee Hwa Wong, Chong Wai Liew, et al.. (2019). Defining the structural basis for human alloantibody binding to human leukocyte antigen allele HLA-A*11:01. Nature Communications. 10(1). 893–893. 23 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.

Explore authors with similar magnitude of impact