Anujith Kumar

1.6k total citations · 1 hit paper
36 papers, 1.2k citations indexed

About

Anujith Kumar is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Anujith Kumar has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Surgery and 8 papers in Genetics. Recurrent topics in Anujith Kumar's work include Pancreatic function and diabetes (12 papers), Pluripotent Stem Cells Research (11 papers) and Peptidase Inhibition and Analysis (6 papers). Anujith Kumar is often cited by papers focused on Pancreatic function and diabetes (12 papers), Pluripotent Stem Cells Research (11 papers) and Peptidase Inhibition and Analysis (6 papers). Anujith Kumar collaborates with scholars based in India, United States and Belgium. Anujith Kumar's co-authors include Dipankar Nandi, Dilip Chandu, Sowmya Jahnavi, Shashank Chandanala, Anoop Babu Vasandan, S. Jyothi Prasanna, Priya Prasad, Ramesh Bhonde, Shikha Sharma and Catherine M. Verfaillie and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Anujith Kumar

32 papers receiving 1.2k citations

Hit Papers

The ubiquitin-proteasome system 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The ubiquitin-proteasome system
    2006 548 citations Dipankar Nandi, Anujith Kumar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anujith Kumar India 11 720 255 224 192 164 36 1.2k
Katie A. Sharff United States 9 851 1.2× 163 0.6× 131 0.6× 247 1.3× 74 0.5× 11 1.4k
Iran Rashedi Canada 11 515 0.7× 203 0.8× 163 0.7× 134 0.7× 225 1.4× 18 996
Qingguo Zhao China 21 774 1.1× 176 0.7× 130 0.6× 130 0.7× 85 0.5× 38 1.4k
So‐Hee Hong South Korea 18 381 0.5× 184 0.7× 118 0.5× 130 0.7× 249 1.5× 50 931
Liya Pi United States 24 910 1.3× 98 0.4× 127 0.6× 447 2.3× 92 0.6× 55 2.1k
Claude Bagnis France 21 822 1.1× 318 1.2× 183 0.8× 283 1.5× 344 2.1× 52 1.5k
Levent Balkir United States 11 1.1k 1.5× 199 0.8× 308 1.4× 324 1.7× 431 2.6× 12 1.7k
Annelii Ny Belgium 21 514 0.7× 163 0.6× 312 1.4× 106 0.6× 179 1.1× 37 1.6k

Countries citing papers authored by Anujith Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anujith Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anujith Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Anujith Kumar. A scholar is included among the top collaborators of Anujith 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 Anujith Kumar. Anujith 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, Anujith, et al.. (2025). A capsular myofibroblastic niche maintains hematopoietic stem cells in the spleen. The EMBO Journal. 44(14). 3983–4012.
2.
Ramanan, Narendrakumar, et al.. (2025). Zic3 enables bimodal regulation of tyrosine hydroxylase expression in olfactory bulb and midbrain-derived neurons. Cell Death Discovery. 11(1). 165–165.
3.
Kalthur, Guruprasad, et al.. (2024). Degradation meets development: Implications in β‐cell development and diabetes. Cell Biology International. 48(6). 759–776. 1 indexed citations
4.
5.
Chandanala, Shashank, et al.. (2024). A novel role of CD73-IFNγ signalling axis in human mesenchymal stromal cell mediated inflammatory macrophage suppression. Regenerative Therapy. 26. 89–101. 2 indexed citations
6.
Kumar, Anujith, et al.. (2023). Deubiquitinase USP1 influences the dedifferentiation of mouse pancreatic β-cells. iScience. 26(5). 106771–106771. 4 indexed citations
7.
Kumar, Anujith, et al.. (2022). Advancement in Understanding the Concept of Epithelial to MesenchymalTransition in Pancreatic β-Cells: Implication in Diabetes. Current Diabetes Reviews. 19(6). e190522205030–e190522205030. 2 indexed citations
8.
Chandanala, Shashank, et al.. (2022). The Yin and Yang of Immunity in Stem Cell Decision Guidance in Tissue Ecologies: An Infection Independent Perspective. Frontiers in Cell and Developmental Biology. 10. 793694–793694. 2 indexed citations
9.
Jahnavi, Sowmya, et al.. (2022). Lineage reprogramming of human adipose mesenchymal stem cells to immune modulatory i-Heps. The International Journal of Biochemistry & Cell Biology. 149. 106256–106256. 3 indexed citations
10.
11.
Kumar, Anujith, et al.. (2020). Mitochondrial Superoxide Dismutase Specifies Early Neural Commitment by Modulating Mitochondrial Dynamics. iScience. 23(10). 101564–101564. 9 indexed citations
12.
Patel, Darshan, et al.. (2019). The road less travelled: The efficacy of canine pluripotent stem cells. Experimental Cell Research. 377(1-2). 94–102. 6 indexed citations
13.
Kumar, Anujith, et al.. (2017). Cyclosporine A-Mediated IL-6 Expression Promotes Neural Induction in Pluripotent Stem Cells. Molecular Neurobiology. 55(5). 4267–4279. 5 indexed citations
14.
Barajas, Miguel, et al.. (2017). Type 1 Diabetes Treatments Based on Stem Cells. Current Diabetes Reviews. 14(1). 14–23. 1 indexed citations
15.
Kumar, Anujith, et al.. (2016). Managing odds in stem cells: insights into the role of mitochondrial antioxidant enzyme MnSOD. Free Radical Research. 50(5). 570–584. 14 indexed citations
16.
Declercq, Jeroen, et al.. (2013). Zic3 Enhances the Generation of Mouse Induced Pluripotent Stem Cells. Stem Cells and Development. 22(14). 2017–2025. 32 indexed citations
17.
Bhonde, Ramesh, et al.. (2013). Making surrogate β-cells from mesenchymal stromal cells: Perspectives and future endeavors. The International Journal of Biochemistry & Cell Biology. 46. 90–102. 60 indexed citations
18.
Declercq, Jeroen, Anujith Kumar, Conny Gysemans, et al.. (2011). Pdx1- and Ngn3-Cre-Mediated PLAG1 Expression in the Pancreas Leads to Endocrine Hormone Imbalances That Affect Glucose Metabolism. Cell Transplantation. 20(8). 1285–1297. 3 indexed citations
19.
Kumar, Anujith, et al.. (2009). Interaction Between Two Residues in the Inter-Domain Interface of Escherichia coli Peptidase N Modulates Catalytic Activity. Protein and Peptide Letters. 16(4). 415–422. 1 indexed citations
20.
Kumar, Anujith & Dipankar Nandi. (2006). Characterization and role of Peptidase N from Salmonella enterica serovar Typhimurium. Biochemical and Biophysical Research Communications. 353(3). 706–712. 13 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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