Deepika Balakrishna

543 total citations
11 papers, 441 citations indexed

About

Deepika Balakrishna is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Deepika Balakrishna has authored 11 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Deepika Balakrishna's work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (3 papers) and Microtubule and mitosis dynamics (2 papers). Deepika Balakrishna is often cited by papers focused on Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (3 papers) and Microtubule and mitosis dynamics (2 papers). Deepika Balakrishna collaborates with scholars based in United States, Japan and United Kingdom. Deepika Balakrishna's co-authors include Nora Sarvetnick, Malin Flodström‐Tullberg, Akihiko Yoshimura, Kurt Van Gunst, Balaji Balasa, Enrique Rodrı́guez, Marc S. Horwitz, Antonio La Cava, Ron de Jong and Naoto Itoh and has published in prestigious journals such as Journal of Clinical Investigation, Nature Immunology and The Journal of Immunology.

In The Last Decade

Deepika Balakrishna

11 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepika Balakrishna United States	9	219	184	99	85	73	11	441
Ju Rang Woo South Korea	10	182 0.8×	75 0.4×	63 0.6×	247 2.9×	54 0.7×	14	562
Jonathan Rud United States	5	172 0.8×	160 0.9×	230 2.3×	262 3.1×	50 0.7×	8	618
Annie J. Kruger United States	12	74 0.3×	74 0.4×	75 0.8×	89 1.0×	78 1.1×	20	422
Hélène Cohen France	12	279 1.3×	231 1.3×	107 1.1×	101 1.2×	43 0.6×	19	560
Sae Uno Japan	11	133 0.6×	420 2.3×	383 3.9×	68 0.8×	50 0.7×	18	604
G. Marquitan Germany	10	80 0.4×	56 0.3×	38 0.4×	132 1.6×	27 0.4×	12	386
Jun Seop Yun South Korea	13	33 0.2×	132 0.7×	64 0.6×	310 3.6×	50 0.7×	20	513
Annalisa Moregola Italy	11	183 0.8×	21 0.1×	67 0.7×	142 1.7×	37 0.5×	20	410
Diane Yang United States	12	40 0.2×	145 0.8×	127 1.3×	384 4.5×	69 0.9×	15	560
David S. Neufeld United States	12	81 0.4×	134 0.7×	126 1.3×	220 2.6×	65 0.9×	17	515

Countries citing papers authored by Deepika Balakrishna

Since Specialization

Citations

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

Fields of papers citing papers by Deepika Balakrishna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Balakrishna

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

All Works

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11 of 11 papers shown

Huang, Huey-Jing, Deepika Balakrishna, James Bilakovics, et al.. (2019). Using Target Engagement Biomarkers to Predict Clinical Efficacy of MetAP2 Inhibitors. Journal of Pharmacology and Experimental Therapeutics. 371(2). 299–308. 6 indexed citations

Riopel, Matthew, Jong Bae Seo, Gautam Bandyopadhyay, et al.. (2018). Chronic fractalkine administration improves glucose tolerance and pancreatic endocrine function. Journal of Clinical Investigation. 128(4). 1458–1470. 30 indexed citations

Riopel, Matthew, Melanie Vassallo, Erik Ehinger, et al.. (2018). CX3CL1-Fc treatment prevents atherosclerosis in Ldlr KO mice. Molecular Metabolism. 20. 89–101. 25 indexed citations

Balakrishna, Deepika, Shweta Pandya, Mark S. Hixon, et al.. (2017). MET Tyrosine Kinase Inhibition Enhances the Antitumor Efficacy of an HGF Antibody. Molecular Cancer Therapeutics. 16(7). 1269–1278. 11 indexed citations

Boloor, Amogh, Jason W. Brown, Andre A. Kiryanov, et al.. (2016). Structure-based optimization of 1H-imidazole-2-carboxamides as Axl kinase inhibitors utilizing a Mer mutant surrogate. Bioorganic & Medicinal Chemistry Letters. 27(4). 1099–1104. 10 indexed citations

Shi, Lihong, Deepika Balakrishna, Takashi Hoshino, et al.. (2013). Biological Characterization of TAK-901, an Investigational, Novel, Multitargeted Aurora B Kinase Inhibitor. Molecular Cancer Therapeutics. 12(4). 460–470. 34 indexed citations

Shi, Lihong, Deepika Balakrishna, Sarah Elliott, et al.. (2009). Abstract B270: Profiling the biochemical and cellular activities of TAK-901, a potent multi-targeted Aurora-B kinase inhibitor. Molecular Cancer Therapeutics. 8(12_Supplement). B270–B270. 3 indexed citations

Flodström‐Tullberg, Malin, et al.. (2002). Target cell defense prevents the development of diabetes after viral infection. Nature Immunology. 3(4). 373–382. 172 indexed citations

Flodström‐Tullberg, Malin, et al.. (2001). A Critical Role for Inducible Nitric Oxide Synthase in Host Survival Following Coxsackievirus B4 Infection. Virology. 281(2). 205–215. 48 indexed citations

10.

Balasa, Balaji, et al.. (2000). A Mechanism for IL-10-Mediated Diabetes in the Nonobese Diabetic (NOD) Mouse: ICAM-1 Deficiency Blocks Accelerated Diabetes. The Journal of Immunology. 165(12). 7330–7337. 57 indexed citations

11.

Balasa, Balaji, Kurt Van Gunst, Nadja Jung, et al.. (2000). Islet-Specific Expression of IL-10 Promotes Diabetes in Nonobese Diabetic Mice Independent of Fas, Perforin, TNF Receptor-1, and TNF Receptor-2 Molecules. The Journal of Immunology. 165(5). 2841–2849. 45 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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