Jeevisha Bajaj
Impact in
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- Cancer-related molecular mechanisms research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
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- Epigenetics and DNA Methylation 5
- Hematology 11
- Acute Myeloid Leukemia Research 7
- Hematopoietic Stem Cell Transplantation 4
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Tannishtha Reya (10 shared papers)Sudhir Krishna (3 shared papers)Bryan Zimdahl (4 shared papers)Tessy Thomas Maliekal (2 shared papers)Deepa Subramanyam (2 shared papers)Vivian G. Oehler (4 shared papers)Charles Chuah (3 shared papers)Roman Šášik (3 shared papers)
- Journals
- Blood (10 papers)Cancer Research (4 papers)Scientific Reports (2 papers)Oncogene (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Jeevisha Bajaj
21 papers receiving 475 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 97
- Hematology 63
- Oncology 119
- Aging 8
- Molecular Biology 279
Countries citing papers authored by Jeevisha Bajaj
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
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-authors
The 25 scholars most cited alongside Jeevisha Bajaj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2014 | 82 | |
| 3 | 2008 | 73 | |
| 4 | 2015 | 54 | |
| 5 | 2015 | 40 | |
| 6 | 2020 | 38 | |
| 7 | 2011 | 32 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2014 | 7 | |
| 12 | 2025 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2011 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2023 | 1 |
About Jeevisha Bajaj
Jeevisha Bajaj is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Cell Biology, having authored 25 papers that have together received 480 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Microtubule and mitosis dynamics (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Cancer Research (97 citations), Hematology (63 citations), Oncology (119 citations), Aging (8 citations) and Molecular Biology (279 citations). Jeevisha Bajaj has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Tannishtha Reya, Sudhir Krishna, Bryan Zimdahl, Tessy Thomas Maliekal, Deepa Subramanyam, Vivian G. Oehler, Charles Chuah, Roman Šášik, Claire S. Koechlein and Takahiro Ito. Their work appears in journals such as Blood, Cancer Research, Scientific Reports, Oncogene and Nature Communications.
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.