Ansu Kumar

436 total citations
24 papers, 360 citations indexed

About

Ansu Kumar is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Ansu Kumar has authored 24 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Hematology and 8 papers in Cancer Research. Recurrent topics in Ansu Kumar's work include Cancer Genomics and Diagnostics (8 papers), Acute Myeloid Leukemia Research (6 papers) and Protein Degradation and Inhibitors (6 papers). Ansu Kumar is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Acute Myeloid Leukemia Research (6 papers) and Protein Degradation and Inhibitors (6 papers). Ansu Kumar collaborates with scholars based in United States, Singapore and Australia. Ansu Kumar's co-authors include Shireen Vali, Taher Abbasi, Shweta Kapoor, Somi K. Cho, Kwang Seok Ahn, Gautam Sethi, Sung‐Hoon Kim, Chulwon Kim, David E. James and Shi‐Xiong Tan and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Ansu Kumar

22 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ansu Kumar United States	10	231	75	55	34	33	24	360
Haydar Çelik United States	13	232 1.0×	79 1.1×	48 0.9×	22 0.6×	39 1.2×	27	447
Sima Mansoori Derakhshan Iran	5	325 1.4×	69 0.9×	103 1.9×	29 0.9×	20 0.6×	22	533
Ronald Grigg United Kingdom	10	255 1.1×	108 1.4×	41 0.7×	23 0.7×	15 0.5×	11	512
Roberta R. Ruela-de-Sousa Brazil	11	382 1.7×	99 1.3×	50 0.9×	32 0.9×	59 1.8×	12	556
Rohini Gomathinayagam United States	11	286 1.2×	41 0.5×	48 0.9×	19 0.6×	15 0.5×	17	459
Wenjun Wu China	12	167 0.7×	61 0.8×	59 1.1×	19 0.6×	23 0.7×	30	324
Chiara Palladino Italy	13	343 1.5×	113 1.5×	48 0.9×	15 0.4×	44 1.3×	19	642
Alessio Malacrida Italy	11	263 1.1×	66 0.9×	86 1.6×	34 1.0×	26 0.8×	25	390
Zhui Chen United States	8	241 1.0×	61 0.8×	19 0.3×	14 0.4×	26 0.8×	20	339
Hanchi Miao China	7	234 1.0×	48 0.6×	39 0.7×	38 1.1×	19 0.6×	7	345

Countries citing papers authored by Ansu Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Ansu Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ansu Kumar

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

All Works

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20 of 20 papers shown

Castro, Michael, Négar Khanlou, Aria Fallah, et al.. (2022). Targeting chromosome 12q amplification in relapsed glioblastoma: the use of computational biological modeling to identify effective therapy—a case report. Annals of Translational Medicine. 10(23). 1289–1289. 4 indexed citations

Padda, Sukhmani K., Jacqueline V. Aredo, Shireen Vali, et al.. (2021). Computational Biological Modeling Identifies PD-(L)1 Immunotherapy Sensitivity Among Molecular Subgroups of KRAS-Mutated Non–Small-Cell Lung Cancer. JCO Precision Oncology. 5(5). 153–162. 6 indexed citations

Padda, Sukhmani K., Yesim Gökmen‐Polar, Jessica A. Hellyer, et al.. (2021). Genomic clustering analysis identifies molecular subtypes of thymic epithelial tumors independent of World Health Organization histologic type. Oncotarget. 12(12). 1178–1186. 5 indexed citations

Chong, Stephen Jun Fei, Jianhua Qu, Jayshree L. Hirpara, et al.. (2019). A feedforward relationship between active Rac1 and phosphorylated Bcl-2 is critical for sustaining Bcl-2 phosphorylation and promoting cancer progression. Cancer Letters. 457. 151–167. 22 indexed citations

Fischer, Carol L., Amber M. Bates, Janet M. Guthmiller, et al.. (2019). Computational Models Accurately Predict Multi-Cell Biomarker Profiles in Inflammation and Cancer. Scientific Reports. 9(1). 10877–10877. 11 indexed citations

Vali, Shireen, Christopher R. Cogle, Neeraj Arora, et al.. (2018). Predictive Analysis on Prognostic Impact of Monosomy 7 in AML and Identified Therapy Options for This Cohort. Blood. 132(Supplement 1). 1539–1539.

Drusbosky, Leylah, Kimberly E. Hawkins, Shireen Vali, et al.. (2017). Abstract CT085: iCare 1: A prospective clinical trial to predict treatment response based on mutanome-informed computational biology in patients with AML and MDS. Cancer Research. 77(13_Supplement). CT085–CT085. 2 indexed citations

Kobayashi, Susumu, Shireen Vali, Ansu Kumar, et al.. (2016). Identification of myeloproliferative neoplasm drug agents via predictive simulation modeling: assessing responsiveness with micro-environment derived cytokines. Oncotarget. 7(24). 35989–36001. 7 indexed citations

Drusbosky, Leylah, Elizabeth Wise, Shireen Vali, et al.. (2016). Icare 1: A Prospective Clinical Trial to Predict Treatment Response Based on Mutanome-Informed Computational Biology in Patients with AML and MDS. Blood. 128(22). 594–594. 1 indexed citations

10.

Doudican, Nicole, Ansu Kumar, Neeraj Singh, et al.. (2015). Personalization of cancer treatment using predictive simulation. Journal of Translational Medicine. 13(1). 43–43. 21 indexed citations

11.

Paulus, Aneel, Kasyapa S. Chitta, Sharoon Akhtar, et al.. (2015). Aurora Kinase Is a Therapeutic Target in Ibrutinib-Resistant Waldenstrom Macroglobulinemia: In-Silico Target Identification and in-Vitro Validation. Blood. 126(23). 2754–2754. 3 indexed citations

12.

Chong, Stephen Jun Fei, Shireen Vali, Ansu Kumar, et al.. (2015). Overexpression of Bcl-2 induces STAT-3 activation via an increase in mitochondrial superoxide. Oncotarget. 6(33). 34191–34205. 34 indexed citations

13.

Paulus, Aneel, Sharoon Akhtar, Shireen Vali, et al.. (2015). In Silico Modeling of Oncogenic Drivers in Waldenstrom Macroglobulinemia to Assess Additional Therapeutic Targets within the BCR Signaling Pathway Identifies MEK1/2 As a Target: Potential Therapeutic Role of Binimetinib. Blood. 126(23). 1279–1279. 1 indexed citations

14.

Pingle, Sandeep C., Sandra Pastorino, Pengfei Jiang, et al.. (2014). In silico modeling predicts drug sensitivity of patient-derived cancer cells. Journal of Translational Medicine. 12(1). 128–128. 25 indexed citations

15.

Doudican, Nicole, Amitabha Mazumder, Shweta Kapoor, et al.. (2014). Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms. Journal of Cancer. 5(6). 406–416. 9 indexed citations

16.

Cogle, Christopher R., Kaoru Tohyama, Shireen Vali, et al.. (2014). A Novel Simulation Method for Mapping Dysregulated Pathways and Predicting Effective Therapeutics in the Myelodysplastic Syndromes. Blood. 124(21). 5595–5595. 1 indexed citations

17.

Azab, Abdel Kareem, Aneel Paulus, Feda Azab, et al.. (2014). A Novel and Personalized Method Using Simulation for Predicting Effective Therapeutics for Waldenströms Macroglobulinemia. Blood. 124(21). 3024–3024. 1 indexed citations

18.

Kim, Chulwon, Somi K. Cho, Shweta Kapoor, et al.. (2013). β‐caryophyllene oxide inhibits constitutive and inducible STAT3 signaling pathway through induction of the SHP‐1 protein tyrosine phosphatase. Molecular Carcinogenesis. 53(10). 793–806. 118 indexed citations

19.

Tan, Shi‐Xiong, Yvonne Ng, Christopher C. Meoli, et al.. (2011). Amplification and Demultiplexing in Insulin-regulated Akt Protein Kinase Pathway in Adipocytes. Journal of Biological Chemistry. 287(9). 6128–6138. 64 indexed citations

20.

Barve, Aditya, Anvita Gupta, Ansu Kumar, et al.. (2010). A kinetic platform for in silico modeling of the metabolic dynamics in Escherichia coli. PubMed. 3. 97–97. 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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