Kiran Kurmi

1.8k total citations · 2 hit papers
16 papers, 1.0k citations indexed

About

Kiran Kurmi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kiran Kurmi has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Kiran Kurmi's work include Cancer, Hypoxia, and Metabolism (7 papers), RNA modifications and cancer (4 papers) and Mitochondrial Function and Pathology (3 papers). Kiran Kurmi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), RNA modifications and cancer (4 papers) and Mitochondrial Function and Pathology (3 papers). Kiran Kurmi collaborates with scholars based in United States, Japan and Canada. Kiran Kurmi's co-authors include Marcia C. Haigis, Arlene H. Sharpe, Taro Hitosugi, Larry M. Karnitz, Giulia Notarangelo, Tanmoy Saha, Aditya Bardia, Arpita Kulkarni, Hae Lin Jang and Pradip K. Majumder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cell and Nature Nanotechnology.

In The Last Decade

Kiran Kurmi

14 papers receiving 997 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intercellular nanotubes mediate mitochondrial trafficking between cancer and immune cells

2021 236 citations Tanmoy Saha, Chinmayee Dash et al. Nature Nanotechnology profile →
Tumor cells dictate anti-tumor immune responses by altering pyruvate utilization and succinate signaling in CD8+ T cells

2022 196 citations Ilaria Elia, Jared H. Rowe et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kiran Kurmi United States	11	596	399	223	191	165	16	1.0k
Rong Cai China	23	778 1.3×	273 0.7×	143 0.6×	248 1.3×	196 1.2×	57	1.2k
Emiliano Dalla Italy	18	836 1.4×	278 0.7×	215 1.0×	201 1.1×	63 0.4×	39	1.2k
Estelle Saland France	18	902 1.5×	329 0.8×	173 0.8×	179 0.9×	65 0.4×	28	1.4k
Jianing Zhong China	17	901 1.5×	327 0.8×	107 0.5×	191 1.0×	82 0.5×	36	1.2k
Gabriela Andrejeva United States	11	724 1.2×	520 1.3×	457 2.0×	415 2.2×	129 0.8×	16	1.3k
Sharanya Sivanand United States	12	1.1k 1.9×	758 1.9×	151 0.7×	225 1.2×	159 1.0×	13	1.6k
Yingrui Shi China	14	691 1.2×	535 1.3×	293 1.3×	286 1.5×	215 1.3×	24	1.2k
Le Li China	17	559 0.9×	337 0.8×	168 0.8×	301 1.6×	94 0.6×	46	1.0k
Marten Hornsveld Netherlands	13	811 1.4×	325 0.8×	83 0.4×	366 1.9×	90 0.5×	20	1.2k

Countries citing papers authored by Kiran Kurmi

Since Specialization

Citations

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

Fields of papers citing papers by Kiran Kurmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Kurmi

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

All Works

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16 of 16 papers shown

Gassaway, Brandon M., Edward L. Huttlin, Emily M. Huntsman, et al.. (2024). Profiling Proteins and Phosphorylation Sites During T Cell Activation Using an Integrated Thermal Shift Assay. Molecular & Cellular Proteomics. 23(7). 100801–100801.

Ogawa, Takafumi, Meltem Isik, Ziyun Wu, et al.. (2024). Nutrient control of growth and metabolism through mTORC1 regulation of mRNA splicing. Molecular Cell. 84(23). 4558–4575.e8. 5 indexed citations

Kurmi, Kiran, Dan Liang, Peter Georgiev, et al.. (2023). Metabolic modulation of mitochondrial mass during CD4+ T cell activation. Cell chemical biology. 30(9). 1064–1075.e8. 8 indexed citations

Yao, Cong-Hui, Joon Seok Park, Kiran Kurmi, et al.. (2023). Uncoupled glycerol-3-phosphate shuttle in kidney cancer reveals that cytosolic GPD is essential to support lipid synthesis. Molecular Cell. 83(8). 1340–1349.e7. 22 indexed citations

Wanderley, Carlos W., Daniel Michaud, Kiran Kurmi, et al.. (2023). 1111 Targeting lipid metabolism to improve PARP inhibitor response in BRCA-associated TNBC. SHILAP Revista de lepidopterología. A1223–A1223. 1 indexed citations

Schneider, Jaime L., Kiran Kurmi, Shakchhi Joshi, et al.. (2023). Abstract 1156: GUK1 is a novel metabolic liability in oncogene-driven lung cancer. Cancer Research. 83(7_Supplement). 1156–1156.

Elia, Ilaria, Jared H. Rowe, Sheila Johnson, et al.. (2022). Tumor cells dictate anti-tumor immune responses by altering pyruvate utilization and succinate signaling in CD8+ T cells. Cell Metabolism. 34(8). 1137–1150.e6. 196 indexed citations breakdown →

Saha, Tanmoy, Chinmayee Dash, Sachin Khiste, et al.. (2021). Intercellular nanotubes mediate mitochondrial trafficking between cancer and immune cells. Nature Nanotechnology. 17(1). 98–106. 236 indexed citations breakdown →

Sreedhar, Annapoorna, Kiran Kurmi, Yuan‐Ping Pang, et al.. (2021). Enzymatic activation of pyruvate kinase increases cytosolic oxaloacetate to inhibit the Warburg effect. Nature Metabolism. 3(7). 954–968. 46 indexed citations

10.

Kurmi, Kiran & Marcia C. Haigis. (2020). Nitrogen Metabolism in Cancer and Immunity. Trends in Cell Biology. 30(5). 408–424. 100 indexed citations

11.

Drijvers, Jefte M., Jacob E. Gillis, Thao H. Nguyen, et al.. (2020). Pharmacologic Screening Identifies Metabolic Vulnerabilities of CD8+ T Cells. Cancer Immunology Research. 9(2). 184–199. 137 indexed citations

12.

Kanakkanthara, Arun, Kiran Kurmi, Xiaonan Hou, et al.. (2019). BRCA1 Deficiency Upregulates NNMT, Which Reprograms Metabolism and Sensitizes Ovarian Cancer Cells to Mitochondrial Metabolic Targeting Agents. Cancer Research. 79(23). 5920–5929. 45 indexed citations

13.

Kurmi, Kiran, Jia Yu, Felix Boakye‐Agyeman, et al.. (2018). Tyrosine Phosphorylation of Mitochondrial Creatine Kinase 1 Enhances a Druggable Tumor Energy Shuttle Pathway. Cell Metabolism. 28(6). 833–847.e8. 47 indexed citations

14.

Kurmi, Kiran, Felix Boakye‐Agyeman, Wilson I. Gonsalves, et al.. (2018). Carnitine Palmitoyltransferase 1A Has a Lysine Succinyltransferase Activity. Cell Reports. 22(6). 1365–1373. 117 indexed citations

15.

Lu, Brian, Kiran Kurmi, Jason M. Tonne, et al.. (2018). Impaired β-cell glucokinase as an underlying mechanism in diet-induced diabetes. Disease Models & Mechanisms. 11(6). 20 indexed citations

16.

Lamont, Elise A., Harish K. Janagama, João Lima, et al.. (2013). Circulating Mycobacterium bovis Peptides and Host Response Proteins as Biomarkers for Unambiguous Detection of Subclinical Infection. Journal of Clinical Microbiology. 52(2). 536–543. 27 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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