Kishore Hari

915 total citations
35 papers, 452 citations indexed

About

Kishore Hari is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kishore Hari has authored 35 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Kishore Hari's work include Gene Regulatory Network Analysis (16 papers), Bioinformatics and Genomic Networks (10 papers) and Cancer Cells and Metastasis (6 papers). Kishore Hari is often cited by papers focused on Gene Regulatory Network Analysis (16 papers), Bioinformatics and Genomic Networks (10 papers) and Cancer Cells and Metastasis (6 papers). Kishore Hari collaborates with scholars based in India, United States and Singapore. Kishore Hari's co-authors include Mohit Kumar Jolly, Susmita Mandal, Sarthak Sahoo, Caterina A. M. La Porta, Francesc Font-Clos, Stefano Zapperi, Herbert Levine, Sonali Nayak, Ashutosh Mishra and Harsimran Kaur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biophysical Journal and Current Opinion in Cell Biology.

In The Last Decade

Kishore Hari

32 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kishore Hari India 12 270 179 137 45 45 35 452
William Chou United States 8 297 1.1× 230 1.3× 152 1.1× 42 0.9× 46 1.0× 13 511
Dana Ishay-Ronen Israel 7 200 0.7× 188 1.1× 106 0.8× 41 0.9× 17 0.4× 11 392
Helen Bardwell United Kingdom 7 285 1.1× 188 1.1× 240 1.8× 19 0.4× 35 0.8× 8 654
Thierry Pécot United States 13 262 1.0× 131 0.7× 100 0.7× 45 1.0× 21 0.5× 34 502
Jenny A. Rudnick United States 8 322 1.2× 387 2.2× 155 1.1× 59 1.3× 93 2.1× 9 619
Meher Majety Germany 9 397 1.5× 280 1.6× 107 0.8× 48 1.1× 45 1.0× 13 724
Angeline M.L. Wong Singapore 5 188 0.7× 163 0.9× 77 0.6× 18 0.4× 39 0.9× 5 372
Kritika Saxena India 10 224 0.8× 183 1.0× 222 1.6× 47 1.0× 22 0.5× 27 575
Ahmed Dahmani France 11 469 1.7× 133 0.7× 160 1.2× 40 0.9× 57 1.3× 22 681
Peijie Zhou China 16 473 1.8× 101 0.6× 162 1.2× 59 1.3× 26 0.6× 38 676

Countries citing papers authored by Kishore Hari

Since Specialization
Citations

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

Fields of papers citing papers by Kishore Hari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kishore Hari

This figure shows the co-authorship network connecting the top 25 collaborators of Kishore Hari. A scholar is included among the top collaborators of Kishore Hari 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 Kishore Hari. Kishore Hari 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.
Kadelka, Claus & Kishore Hari. (2025). Critical assessment of the ability of Boolean threshold models to describe gene regulatory network dynamics. PNAS Nexus. 4(8). pgaf228–pgaf228.
2.
3.
Hari, Kishore, et al.. (2025). Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks. iScience. 28(2). 111730–111730. 4 indexed citations
4.
Hari, Kishore, et al.. (2024). Multistability and predominant hybrid phenotypes in a four node mutually repressive network of Th1/Th2/Th17/Treg differentiation. npj Systems Biology and Applications. 10(1). 123–123. 4 indexed citations
5.
Fakih, Marwan, Davendra Sohal, Justin Call, et al.. (2024). 625P Initial results from the phase I, first-in-human study of the covalent, PI3Kα inhibitor TOS-358 in patients with solid tumors, expressing PI3Kα mutations or amplifications. Annals of Oncology. 35. S499–S500. 2 indexed citations
6.
Hari, Kishore, et al.. (2024). Lineage-specific dynamics of loss of X upregulation during inactive-X reactivation. Stem Cell Reports. 19(11). 1564–1582. 2 indexed citations
7.
Sahoo, Sarthak, Kishore Hari, & Mohit Kumar Jolly. (2024). Design principles of regulatory networks underlying epithelial mesenchymal plasticity in cancer cells. Current Opinion in Cell Biology. 92. 102445–102445. 1 indexed citations
8.
Hari, Kishore, et al.. (2023). Coupled Mutual Inhibition and Mutual Activation Motifs as Tools for Cell-Fate Control. Cells Tissues Organs. 213(4). 283–296. 2 indexed citations
9.
Hari, Kishore, et al.. (2023). Collective heterogeneity of mitochondrial potential in contact inhibition of proliferation. Biophysical Journal. 122(19). 3909–3923. 1 indexed citations
10.
Hari, Kishore, et al.. (2023). Assessing biological network dynamics: comparing numerical simulations with analytical decomposition of parameter space. npj Systems Biology and Applications. 9(1). 29–29. 4 indexed citations
11.
Hari, Kishore, et al.. (2022). Network topology metrics explaining enrichment of hybrid epithelial/mesenchymal phenotypes in metastasis. PLoS Computational Biology. 18(11). e1010687–e1010687. 11 indexed citations
12.
Hari, Kishore, et al.. (2022). Robustness in phenotypic plasticity and heterogeneity patterns enabled by EMT networks. Biophysical Journal. 121(19). 3600–3615. 7 indexed citations
13.
Sahoo, Sarthak, Ashutosh Mishra, Harsimran Kaur, et al.. (2021). A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells. NAR Cancer. 3(3). zcab027–zcab027. 45 indexed citations
14.
Penugurti, Vasudevarao, et al.. (2021). A reciprocal feedback loop between HIF-1α and HPIP controls phenotypic plasticity in breast cancer cells. Cancer Letters. 526. 12–28. 14 indexed citations
15.
16.
Hari, Kishore, et al.. (2021). Semicoordinated allelic-bursting shape dynamic random monoallelic expression in pregastrulation embryos. iScience. 24(9). 102954–102954. 8 indexed citations
17.
Hari, Kishore, et al.. (2021). Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells. Journal of Clinical Medicine. 10(3). 472–472. 7 indexed citations
18.
Iyer, Arvind, Shreya Sharma, Kishore Hari, et al.. (2020). Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells. Journal of Clinical Medicine. 9(4). 1206–1206. 28 indexed citations
19.
Hari, Kishore, et al.. (2020). Decoding molecular interplay between RUNX1 and FOXO3a underlying the pulsatile IGF1R expression during acquirement of chemoresistance. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(6). 165754–165754. 13 indexed citations
20.
Hari, Kishore, et al.. (2012). Classification of vehicles using magnetic dipole model. 1–6. 10 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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