Prashant Kumar

1.7k total citations
86 papers, 1.1k citations indexed

About

Prashant Kumar is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Prashant Kumar has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 25 papers in Oncology and 19 papers in Surgery. Recurrent topics in Prashant Kumar's work include Ubiquitin and proteasome pathways (11 papers), Cancer Genomics and Diagnostics (11 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Prashant Kumar is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Cancer Genomics and Diagnostics (11 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Prashant Kumar collaborates with scholars based in India, United States and Singapore. Prashant Kumar's co-authors include Jean Paul Thiery, Tuan Zea Tan, Harsha Gowda, Karl Simin, Annapoorni Rangarajan, Majid Ebrahimi Warkiani, Avadhesha Surolia, K. Sekar, Bee Luan Khoo and M. Vijayan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Prashant Kumar

78 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant Kumar India 18 616 428 292 110 108 86 1.1k
Zhaoyang Wang China 20 572 0.9× 289 0.7× 284 1.0× 160 1.5× 150 1.4× 79 1.2k
Octavio Caba Spain 19 436 0.7× 253 0.6× 157 0.5× 67 0.6× 63 0.6× 52 946
S. John Weroha United States 21 741 1.2× 610 1.4× 368 1.3× 107 1.0× 174 1.6× 71 1.5k
Yong Qin China 18 1.1k 1.8× 330 0.8× 292 1.0× 335 3.0× 113 1.0× 55 1.8k
Xing Wang China 20 466 0.8× 417 1.0× 168 0.6× 97 0.9× 101 0.9× 76 1.1k
Katarzyna Marta Lisowska Poland 16 736 1.2× 295 0.7× 338 1.2× 147 1.3× 102 0.9× 36 1.3k
Dashnamoorthy Ravi United States 20 501 0.8× 283 0.7× 153 0.5× 128 1.2× 94 0.9× 51 961

Countries citing papers authored by Prashant Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Kumar. A scholar is included among the top collaborators of Prashant 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 Prashant Kumar. Prashant 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.
Kumar, Prashant, Sudipta Bhattacharyya, Hem Chandra Jha, et al.. (2025). Mitochondrial proteostasis and cellular health: insights from chaperones and autophagy. The Journal of Physiology. 1 indexed citations
2.
Kumar, Prashant, et al.. (2024). Fluorescence-based multifunctional light sheet imaging flow cytometry for high-throughput optical interrogation of live cells. Communications Physics. 7(1). 2 indexed citations
3.
Jha, Prerana, Rohit Mishra, Nandini Menon, et al.. (2024). Identification of Rare EIF3E::RSPO2 Fusion in Recurrent and Aggressive Urachal Adenocarcinoma. Genes Chromosomes and Cancer. 63(6). e23250–e23250. 1 indexed citations
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Kumar, Prashant, Rohan Dhiman, Vijay Kumar Prajapati, et al.. (2023). Lanosterol elevates cytoprotective response through induced-proteasomal degradation of aberrant proteins. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(2). 119631–119631. 2 indexed citations
6.
Kumar, Prashant, et al.. (2023). Proteostasis defects: Medicinal challenges of imperfect aging & neurodegeneration. SHILAP Revista de lepidopterología. 7. 87–97. 6 indexed citations
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Noronha, Vanita, Srikanth S. Manda, Rohit Mishra, et al.. (2023). Whole exome sequencing uncovers HRAS mutations as potential mediators of resistance to metronomic chemotherapy. Gene. 893. 147952–147952. 4 indexed citations
9.
Limaye, Sewanti, et al.. (2021). Response to pazopanib‐based combination regimen in a case of FGFR3 amplified gastric adenocarcinoma. SHILAP Revista de lepidopterología. 9(11). e04986–e04986. 3 indexed citations
10.
Bernardino, Rui, Ricardo Leão, Rui Henrique, et al.. (2021). Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies. International Journal of Molecular Sciences. 22(24). 13605–13605. 10 indexed citations
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Crook, Timothy, Andrew Gaya, Raymond Page, et al.. (2020). Clinical utility of circulating tumor-associated cells to predict and monitor chemo-response in solid tumors. Cancer Chemotherapy and Pharmacology. 87(2). 197–205. 15 indexed citations
14.
Gaya, Andrew, Timothy Crook, Nicholas Plowman, et al.. (2020). Evaluation of circulating tumor cell clusters for pan‐cancer noninvasive diagnostic triaging. Cancer Cytopathology. 129(3). 226–238. 16 indexed citations
15.
Puttamallesh, Vinuth N., Ankit Jain, Bipin G. Nair, et al.. (2020). Quantitative Proteomics of Urinary Bladder Cancer Cell Lines Identify UAP1 as a Potential Therapeutic Target. Genes. 11(7). 763–763. 11 indexed citations
16.
Balakrishnan, A., Gianluca Grenci, Virgile Viasnoff, et al.. (2019). Circulating Tumor Cell cluster phenotype allows monitoring response to treatment and predicts survival. Scientific Reports. 9(1). 7933–7933. 46 indexed citations
17.
Bukhari, Shoiab, et al.. (2018). AMPK–Akt Double-Negative Feedback Loop in Breast Cancer Cells Regulates Their Adaptation to Matrix Deprivation. Cancer Research. 78(6). 1497–1510. 48 indexed citations
18.
Kumar, Prashant, et al.. (2018). Biomarkers for Bladder Cancer: Present Challenges and Recent Developments. 6(2). 34–38.
19.
Kumar, Prashant, et al.. (2012). Cooperativity of Rb, Brca1, and p53 in Malignant Breast Cancer Evolution. PLoS Genetics. 8(11). e1003027–e1003027. 20 indexed citations
20.
Kumar, Prashant, et al.. (2010). Basaloid Squamous Cell Carcinoma A Case Report. 2(1). 5 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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