Akhilesh Kumar

2.1k total citations
46 papers, 1.4k citations indexed

About

Akhilesh Kumar is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Akhilesh Kumar has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in Akhilesh Kumar's work include Pluripotent Stem Cells Research (12 papers), Zebrafish Biomedical Research Applications (8 papers) and CRISPR and Genetic Engineering (7 papers). Akhilesh Kumar is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), Zebrafish Biomedical Research Applications (8 papers) and CRISPR and Genetic Engineering (7 papers). Akhilesh Kumar collaborates with scholars based in United States, India and Japan. Akhilesh Kumar's co-authors include Igor I. Slukvin, Saritha S. D’Souza, James A. Thomson, Scott Swanson, Maxim A. Vodyanik, Ron Stewart, Bharathi P. Salimath, Oleg V. Moskvin, Seiji Hitoshi and Kazuhiro Ikenaka and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Neuroscience.

In The Last Decade

Akhilesh Kumar

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akhilesh Kumar United States 22 893 356 155 150 126 46 1.4k
Hyun‐Woo Jeong Germany 26 899 1.0× 253 0.7× 304 2.0× 179 1.2× 182 1.4× 53 1.7k
Ji-Ung Jung United States 20 702 0.8× 224 0.6× 114 0.7× 114 0.8× 151 1.2× 29 1.3k
Michael R. Douglas United Kingdom 18 590 0.7× 311 0.9× 137 0.9× 105 0.7× 43 0.3× 25 1.3k
Hui Jin United States 23 965 1.1× 327 0.9× 123 0.8× 237 1.6× 103 0.8× 41 1.5k
Salah Mahmoudi United States 12 1.4k 1.6× 115 0.3× 185 1.2× 190 1.3× 106 0.8× 13 2.0k
Hua Yu China 17 895 1.0× 188 0.5× 122 0.8× 155 1.0× 168 1.3× 42 1.6k
Konstantin Adamsky Israel 17 681 0.8× 116 0.3× 124 0.8× 157 1.0× 225 1.8× 25 1.3k
Ahdeah Pajoohesh‐Ganji United States 22 430 0.5× 247 0.7× 149 1.0× 119 0.8× 39 0.3× 31 1.6k
Thomas Floß Germany 25 1.8k 2.0× 139 0.4× 158 1.0× 204 1.4× 126 1.0× 44 2.4k
Wange Lu United States 26 2.2k 2.5× 143 0.4× 135 0.9× 200 1.3× 71 0.6× 70 2.8k

Countries citing papers authored by Akhilesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Akhilesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akhilesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Akhilesh Kumar. A scholar is included among the top collaborators of Akhilesh 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 Akhilesh Kumar. Akhilesh 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.
Lozada, John R., Andrew Elliott, Mark G. Evans, et al.. (2025). Expression Patterns of DLL3 across Neuroendocrine and Non-neuroendocrine Neoplasms Reveal Broad Opportunities for Therapeutic Targeting. Cancer Research Communications. 5(2). 318–326. 2 indexed citations
2.
Kumar, Akhilesh, Alexander J. Lenvik, Martin Felices, et al.. (2025). The transcription factor BCL11B drives NK cell cytotoxicity and antitumor activity. The Journal of Immunology. 214(11). 2961–2975.
3.
D’Souza, Saritha S., Akhilesh Kumar, Mi Ae Park, et al.. (2022). Generation of SIV-resistant T cells and macrophages from nonhuman primate induced pluripotent stem cells with edited CCR5 locus. Stem Cell Reports. 17(4). 953–963. 8 indexed citations
4.
Jeyaraman, Madhan, et al.. (2021). Masson’s Hemangioma of Knee: A Rare Case Report. Journal of Orthopaedic Case Reports. 11(9). 79–83.
5.
Kumar, Akhilesh, Saritha S. D’Souza, Gene Uenishi, et al.. (2020). Generation of T cells from Human and Nonhuman Primate Pluripotent Stem Cells. BIO-PROTOCOL. 10(13). 4 indexed citations
6.
D’Souza, Saritha S., Akhilesh Kumar, & Igor I. Slukvin. (2018). Functional Heterogeneity of Endothelial Cells Derived from Human Pluripotent Stem Cells. Stem Cells and Development. 27(8). 524–533. 10 indexed citations
7.
Uenishi, Gene, Ho Sun Jung, Akhilesh Kumar, et al.. (2018). NOTCH signaling specifies arterial-type definitive hemogenic endothelium from human pluripotent stem cells. Nature Communications. 9(1). 1828–1828. 84 indexed citations
8.
Park, Mi Ae, Akhilesh Kumar, Ho Sun Jung, et al.. (2018). Activation of the Arterial Program Drives Development of Definitive Hemogenic Endothelium with Lymphoid Potential. Cell Reports. 23(8). 2467–2481. 45 indexed citations
9.
10.
11.
Kumar, Akhilesh, Saritha S. D’Souza, Oleg V. Moskvin, et al.. (2017). Specification and Diversification of Pericytes and Smooth Muscle Cells from Mesenchymoangioblasts. Cell Reports. 19(9). 1902–1916. 153 indexed citations
12.
D’Souza, Saritha S., John P. Maufort, Akhilesh Kumar, et al.. (2016). GSK3β Inhibition Promotes Efficient Myeloid and Lymphoid Hematopoiesis from Non-human Primate-Induced Pluripotent Stem Cells. Stem Cell Reports. 6(2). 243–256. 25 indexed citations
13.
14.
Alwood, Joshua S., Mohammad Shahnazari, Ann‐Sofie Schreurs, et al.. (2015). Ionizing Radiation Stimulates Expression of Pro-Osteoclastogenic Genes in Marrow and Skeletal Tissue. Journal of Interferon & Cytokine Research. 35(6). 480–487. 45 indexed citations
15.
Naruse, Masae, Akhilesh Kumar, Katsuhiko Ono, et al.. (2015). The Dorsoventral Boundary of the Germinal Zone is a Specialized Niche for the Generation of Cortical Oligodendrocytes during a Restricted Temporal Window. Cerebral Cortex. 26(6). 2800–2810. 19 indexed citations
16.
Vodyanik, Maxim A., Padma Priya Togarrati, Kran Suknuntha, et al.. (2012). Identification of the Hemogenic Endothelial Progenitor and Its Direct Precursor in Human Pluripotent Stem Cell Differentiation Cultures. Cell Reports. 2(3). 553–567. 157 indexed citations
17.
Kumar, Akhilesh, et al.. (2010). Therapeutic Efficacy of Allyl Isothiocyanate Evaluated on N-Nitrosodiethylamine/Phenobarbital induced Hepatocarcinogenesis in Wistar Rats. 1(1). 5–9.
18.
Kumar, Akhilesh, et al.. (2009). Platelet-Derived Growth Factor Receptor Signaling Is Not Involved in Osteogenic Differentiation of Human Mesenchymal Stem Cells. Tissue Engineering Part A. 16(3). 983–993. 37 indexed citations
19.
Dahiya, Rajiv & Akhilesh Kumar. (2008). Synthetic and biological studies on a cyclopolypeptide of plant origin. Journal of Zhejiang University SCIENCE B. 9(5). 391–400. 18 indexed citations
20.
Kumar, Akhilesh, Deborah Wessels, Karla J. Daniels, et al.. (2004). Sphingosine‐1‐phosphate plays a role in the suppression of lateral pseudopod formation during Dictyostelium discoideum cell migration and chemotaxis. Cell Motility and the Cytoskeleton. 59(4). 227–241. 20 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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