Addanki P. Kumar

8.4k total citations
56 papers, 1.9k citations indexed

About

Addanki P. Kumar is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Addanki P. Kumar has authored 56 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Oncology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Addanki P. Kumar's work include Prostate Cancer Treatment and Research (17 papers), Estrogen and related hormone effects (6 papers) and Cancer Genomics and Diagnostics (5 papers). Addanki P. Kumar is often cited by papers focused on Prostate Cancer Treatment and Research (17 papers), Estrogen and related hormone effects (6 papers) and Cancer Genomics and Diagnostics (5 papers). Addanki P. Kumar collaborates with scholars based in United States, China and Japan. Addanki P. Kumar's co-authors include Rita Ghosh, Thomas J. Slaga, Andrew P. Butler, William L. Alworth, James W. Freeman, Ian M. Thompson, James E. Fitzpatrick, Nagalakshmi Nadiminty, I‐Tien Yeh and Shujie Zhao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Addanki P. Kumar

55 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Addanki P. Kumar United States 27 1.0k 561 436 274 197 56 1.9k
Thambi Dorai United States 23 1.4k 1.3× 342 0.6× 284 0.7× 322 1.2× 146 0.7× 46 2.2k
Ying Sun China 24 1.1k 1.0× 379 0.7× 392 0.9× 207 0.8× 109 0.6× 93 2.1k
Altaf Mohammed United States 27 888 0.8× 661 1.2× 471 1.1× 139 0.5× 247 1.3× 96 1.9k
Daniel H. Albert United States 29 1.3k 1.3× 498 0.9× 277 0.6× 180 0.7× 258 1.3× 88 2.7k
Sung‐Gook Cho South Korea 27 1.3k 1.2× 403 0.7× 315 0.7× 112 0.4× 230 1.2× 60 2.2k
Chun‐Yin Huang Taiwan 30 1.2k 1.2× 463 0.8× 411 0.9× 135 0.5× 140 0.7× 60 2.2k
Manoj Kumar Bhat India 29 1.2k 1.2× 605 1.1× 636 1.5× 126 0.5× 100 0.5× 56 2.3k
Kai‐Yuan Lin Taiwan 30 1.2k 1.1× 297 0.5× 431 1.0× 276 1.0× 183 0.9× 75 2.0k
Lori D. Dwyer‐Nield United States 27 1.3k 1.2× 495 0.9× 458 1.1× 494 1.8× 279 1.4× 60 2.4k
Changyan Chen United States 28 1.3k 1.3× 389 0.7× 326 0.7× 111 0.4× 264 1.3× 69 1.9k

Countries citing papers authored by Addanki P. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Addanki P. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Addanki P. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Addanki P. Kumar. A scholar is included among the top collaborators of Addanki P. 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 Addanki P. Kumar. Addanki P. Kumar 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.
Ghosh, Rita, Danielle Fritze, Sergi Fernández-González, et al.. (2025). Characterization of metabolomic associated with pancreatic cancer patients with overweight and obesity. Clinical Nutrition. 51. 240–251.
2.
Zhao, Shujie, et al.. (2022). Gemcitabine resistance of pancreatic cancer cells is mediated by IGF1R dependent upregulation of CD44 expression and isoform switching. Cell Death and Disease. 13(8). 682–682. 29 indexed citations
3.
Thapa, Dinesh, Xiaoyu Yang, Roble Bedolla, et al.. (2020). Attenuation of NAD[P]H:quinone oxidoreductase 1 aggravates prostate cancer and tumor cell plasticity through enhanced TGFβ signaling. Communications Biology. 3(1). 12–12. 12 indexed citations
4.
Meng, Peng, et al.. (2019). Contextual role of E2F1 in suppression of melanoma cell motility and invasiveness. Molecular Carcinogenesis. 58(9). 1701–1710. 4 indexed citations
5.
Patel, Darpan I., et al.. (2019). Exercise preserves muscle mass and force in a prostate cancer mouse model. European Journal of Translational Myology. 29(4). 8520–8520. 13 indexed citations
6.
Patel, Darpan I., et al.. (2019). Nexrutine and exercise similarly prevent high grade prostate tumors in transgenic mouse model. PLoS ONE. 14(12). e0226187–e0226187. 9 indexed citations
7.
Bedolla, Roble, Joseph W. Basler, Gregory P. Swanson, et al.. (2018). Suppression of ribosomal protein RPS6KB1 by Nexrutine increases sensitivity of prostate tumors to radiation. Cancer Letters. 433. 232–241. 19 indexed citations
8.
9.
Horning, Aaron M., Yao Wang, Anna D. Louie, et al.. (2017). Single-Cell RNA-seq Reveals a Subpopulation of Prostate Cancer Cells with Enhanced Cell-Cycle–Related Transcription and Attenuated Androgen Response. Cancer Research. 78(4). 853–864. 81 indexed citations
10.
Gong, Jingjing, et al.. (2017). Pancreatic Cancer: Current Status and Challenges. Current Pharmacology Reports. 3(6). 396–408. 15 indexed citations
11.
Payton‐Stewart, Florastina, et al.. (2016). Downregulation of STAT3/NF‐κB potentiates gemcitabine activity in pancreatic cancer cells. Molecular Carcinogenesis. 56(2). 402–411. 33 indexed citations
12.
Kumar, Addanki P., et al.. (2016). Food-based natural products for cancer management: Is the whole greater than the sum of the parts?. Seminars in Cancer Biology. 40-41. 233–246. 39 indexed citations
13.
Gong, Jingjing, Jianping Xie, Roble Bedolla, et al.. (2014). Combined Targeting of STAT3/NF-κB/COX-2/EP4 for Effective Management of Pancreatic Cancer. Clinical Cancer Research. 20(5). 1259–1273. 61 indexed citations
14.
Chen, Chun‐Liang, Devalingam Mahalingam, Paweł A. Osmulski, et al.. (2012). Single‐cell analysis of circulating tumor cells identifies cumulative expression patterns of EMT‐related genes in metastatic prostate cancer. The Prostate. 73(8). 813–826. 178 indexed citations
15.
Kunnumakkara, Ajaikumar B., Shylesh Bhaskaran, Kaustubh H. Kulkarni, et al.. (2008). Butanol fraction containing berberine or related compound from nexrutine® inhibits NFκB signaling and induces apoptosis in prostate cancer cells. The Prostate. 69(5). 494–504. 68 indexed citations
16.
Ghosh, Rita, Katherine Crosby, Hiroyasu Inoue, et al.. (2007). Regulation of Cox-2 by Cyclic AMP Response Element Binding Protein in Prostate Cancer: Potential Role for Nexrutine. Neoplasia. 9(11). 893–899. 47 indexed citations
17.
Ghosh, Rita, et al.. (2003). Cell cycle block and apoptosis induction in a human melanoma cell line following treatment with 2-methoxyoestradiol. Melanoma Research. 13(2). 119–127. 37 indexed citations
18.
Zhao, Biwei, Addanki P. Kumar, & Andrew P. Butler. (2000). A negative regulatory element within the proximal promoter region of the rat ornithine decarboxylase gene. Molecular Carcinogenesis. 29(4). 212–218. 2 indexed citations
19.
Kumar, Addanki P. & Andrew P. Butler. (1999). Enhanced Sp1 DNA-binding activity in murine keratinocyte cell lines and epidermal tumors. Cancer Letters. 137(2). 159–165. 38 indexed citations
20.
Kumar, Addanki P., et al.. (1995). Regulation of Rat Ornithine Decarboxylase Promoter Activity by Binding of Transcription Factor Sp1. Journal of Biological Chemistry. 270(9). 4341–4348. 49 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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