Jeevisha Bajaj

979 total citations
20 papers, 463 citations indexed

About

Jeevisha Bajaj is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Jeevisha Bajaj has authored 20 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Hematology. Recurrent topics in Jeevisha Bajaj's work include Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (5 papers) and Cancer Cells and Metastasis (5 papers). Jeevisha Bajaj is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (5 papers) and Cancer Cells and Metastasis (5 papers). Jeevisha Bajaj collaborates with scholars based in United States, India and Singapore. Jeevisha Bajaj's co-authors include Tannishtha Reya, Sudhir Krishna, Bryan Zimdahl, Tessy Thomas Maliekal, Deepa Subramanyam, Vivian G. Oehler, Roman Šášik, Charles Chuah, Claire S. Koechlein and Hyog Young Kwon and has published in prestigious journals such as Nature Communications, Nature Genetics and The Journal of Cell Biology.

In The Last Decade

Jeevisha Bajaj

19 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeevisha Bajaj United States 10 305 129 116 64 62 20 463
Koutarou Nishimura Japan 10 369 1.2× 88 0.7× 116 1.0× 76 1.2× 73 1.2× 19 492
Ching-Man Virbasius United States 8 593 1.9× 106 0.8× 100 0.9× 51 0.8× 88 1.4× 9 711
T. David Soong United States 7 383 1.3× 80 0.6× 87 0.8× 78 1.2× 77 1.2× 11 533
Peter Haviernik United States 13 297 1.0× 88 0.7× 79 0.7× 89 1.4× 93 1.5× 25 441
Mathias Jenal Switzerland 9 518 1.7× 75 0.6× 77 0.7× 70 1.1× 73 1.2× 9 638
Somsundar Veppil Muralidharan Sweden 9 451 1.5× 134 1.0× 106 0.9× 85 1.3× 54 0.9× 12 525
Vladimir E. Belozerov United States 11 429 1.4× 129 1.0× 232 2.0× 88 1.4× 61 1.0× 11 697
Ikue Tai Japan 2 401 1.3× 166 1.3× 73 0.6× 104 1.6× 75 1.2× 2 507
Peng Yue United States 12 589 1.9× 123 1.0× 143 1.2× 55 0.9× 76 1.2× 17 749
Maurice Reimann Germany 10 385 1.3× 206 1.6× 77 0.7× 24 0.4× 126 2.0× 14 563

Countries citing papers authored by Jeevisha Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Jeevisha Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeevisha Bajaj

This figure shows the co-authorship network connecting the top 25 collaborators of Jeevisha Bajaj. A scholar is included among the top collaborators of Jeevisha Bajaj 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 Jeevisha Bajaj. Jeevisha Bajaj 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.
Chaves, Francisco A., Yi Zhang, Richard Burack, et al.. (2025). Apolipoproteins from the microenvironment promote aggressive myeloid leukemia progression. Blood. 146(Supplement 1). 3186–3186.
2.
Kawano, Yuko, Hiroki Kawano, Elizabeth A. LaMere, et al.. (2025). IL-1R1 and IL-18 signals regulate mesenchymal stromal cells in an aged murine model of myelodysplastic syndromes. Blood. 145(15). 1632–1644. 1 indexed citations
3.
Kawano, Yuko, Yu Chen, Marlies P. Rossmann, et al.. (2023). Isocitrate Dehydrogenase 2 Mutation Allows Myeloid Differentiation but Impairs Bone Marrow Macrophage Polarization and Function Via Metabolic Dysregulation. Blood. 142(Supplement 1). 314–314. 1 indexed citations
4.
Ashton, John M., et al.. (2023). Identifying Bone Marrow Microenvironmental Populations in Myelodysplastic Syndrome and Acute Myeloid Leukemia. Journal of Visualized Experiments. 3 indexed citations
5.
Kawano, Hiroki, Yuko Kawano, Mark W. LaMere, et al.. (2021). Interleukin-1/Toll-like Receptor Inhibition Can Restore the Disrupted Bone Marrow Microenvironment in Mouse Model of Myelodysplastic Syndromes. Blood. 138(Supplement 1). 1510–1510. 2 indexed citations
6.
Ganguly, Archan, Qi Cheng, Jeevisha Bajaj, & Daewoo Lee. (2020). Serotonin receptor 5-HT7 in Drosophila mushroom body neurons mediates larval appetitive olfactory learning. Scientific Reports. 10(1). 21267–21267. 20 indexed citations
7.
Bajaj, Jeevisha, Michael Hamilton, Yutaka Shima, et al.. (2020). An in vivo genome-wide CRISPR screen identifies the RNA-binding protein Staufen2 as a key regulator of myeloid leukemia. Nature Cancer. 1(4). 410–422. 37 indexed citations
8.
Sari, Ita Novita, Yinggui Yang, Yoseph Toni Wijaya, et al.. (2020). AMD1 is required for the maintenance of leukemic stem cells and promotes chronic myeloid leukemic growth. Oncogene. 40(3). 603–617. 11 indexed citations
9.
Spinler, Kyle, Jeevisha Bajaj, Takahiro Ito, et al.. (2020). A stem cell reporter based platform to identify and target drug resistant stem cells in myeloid leukemia. Nature Communications. 11(1). 5998–5998. 10 indexed citations
10.
Ablack, Jailal, Jeevisha Bajaj, Frédéric Lagarrigue, et al.. (2020). MARCH Proteins Mediate Responses to Antitumor Antibodies. The Journal of Immunology. 205(10). 2883–2892. 3 indexed citations
11.
Bajaj, Jeevisha, et al.. (2019). Stem cells in cancer initiation and progression. The Journal of Cell Biology. 219(1). 85 indexed citations
12.
Spinler, Kyle, Tannishtha Reya, Jeevisha Bajaj, et al.. (2018). Identification of Syndecan-1 As a Key Dependency of Myeloid Leukemia Growth and Dissemination. Blood. 132(Supplement 1). 3003–3003. 2 indexed citations
13.
Bajaj, Jeevisha, James Scott‐Browne, Kyle Spinler, & Tannishtha Reya. (2018). An In Vivo Genome-Wide CRISPR Screen Identifies Novel Dependencies for Blast Crisis Chronic Myelogenous Leukemia. Blood. 132(Supplement 1). 1727–1727. 1 indexed citations
14.
Kwon, Hyog Young, Jeevisha Bajaj, Takahiro Ito, et al.. (2015). Tetraspanin 3 Is Required for the Development and Propagation of Acute Myelogenous Leukemia. Cell stem cell. 17(2). 152–164. 53 indexed citations
15.
Bajaj, Jeevisha, Bryan Zimdahl, & Tannishtha Reya. (2015). Fearful Symmetry: Subversion of Asymmetric Division in Cancer Development and Progression. Cancer Research. 75(5). 792–797. 40 indexed citations
16.
Pattabiraman, Chitra, Shiyuan Hong, Vignesh Gunasekharan, et al.. (2014). CD66+ Cells in Cervical Precancers Are Partially Differentiated Progenitors with Neoplastic Traits. Cancer Research. 74(22). 6682–6692. 7 indexed citations
17.
Zimdahl, Bryan, Takahiro Ito, Jeevisha Bajaj, et al.. (2014). Lis1 regulates asymmetric division in hematopoietic stem cells and in leukemia. Nature Genetics. 46(3). 245–252. 81 indexed citations
18.
Bajaj, Jeevisha, Tessy Thomas Maliekal, Chitra Pattabiraman, et al.. (2011). Notch Signaling in CD66+ Cells Drives the Progression of Human Cervical Cancers. Cancer Research. 71(14). 4888–4897. 32 indexed citations
19.
Harsha, Choudhary, et al.. (2011). Quantitative Proteomic Profiling Unravels Dynamic Changes in the Myeloma Cell Proteome Treated with Valproic Acid (VPA). Blood. 118(21). 1847–1847. 1 indexed citations
20.
Maliekal, Tessy Thomas, et al.. (2008). The role of Notch signaling in human cervical cancer: implications for solid tumors. Oncogene. 27(38). 5110–5114. 73 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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