Meera Mohan
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 60
- Multiple Myeloma Research and Treatments 59
- Oncology 47
- CAR-T cell therapy research 22
- Peptidase Inhibition and Analysis 10
- Cancer Treatment and Pharmacology 9
- Co-authors
- Binod Dhakal (22 shared papers)Anita D’Souza (26 shared papers)Faith E. Davies (10 shared papers)Carolina Schinke (35 shared papers)Parameswaran Hari (11 shared papers)Aasiya Matin (3 shared papers)Frits van Rhee (25 shared papers)Maurizio Zangari (25 shared papers)
- Journals
- Blood (25 papers)British Journal of Haematology (6 papers)Blood Advances (5 papers)Journal of Clinical Oncology (4 papers)Transplantation and Cellular Therapy (4 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Meera Mohan
76 papers receiving 572 citations
Peers
Comparison fields: 5 of 69
- Hematology 341
- Oncology 254
- Genetics 38
- Molecular Biology 227
- Immunology 60
Countries citing papers authored by Meera Mohan
This map shows the geographic impact of Meera Mohan'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 Meera Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meera Mohan more than expected).
Fields of papers citing papers by Meera Mohan
This network shows the impact of papers produced by Meera Mohan. 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 Meera Mohan. The network helps show where Meera Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Meera Mohan, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 46 | |
| 2 | 2023 | 41 | |
| 3 | 2019 | 41 | |
| 4 | 2021 | 38 | |
| 5 | 2022 | 26 | |
| 6 | 2017 | 26 | |
| 7 | 2023 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 14 | |
| 13 | 2024 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2020 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Meera Mohan
Meera Mohan is a scholar working on Hematology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 90 papers that have together received 580 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (59 papers), CAR-T cell therapy research (22 papers), Protein Degradation and Inhibitors (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Peptidase Inhibition and Analysis (10 papers), Cancer Treatment and Pharmacology (9 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Biosimilars and Bioanalytical Methods (7 papers). The work is most often cited by research in Hematology (341 citations), Oncology (254 citations), Genetics (38 citations), Molecular Biology (227 citations) and Immunology (60 citations). Meera Mohan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Binod Dhakal, Anita D’Souza, Faith E. Davies, Carolina Schinke, Parameswaran Hari, Aasiya Matin, Frits van Rhee, Maurizio Zangari, Saurabh Chhabra and Sharmilan Thanendrarajan. Their work appears in journals such as Blood, British Journal of Haematology, Blood Advances, Journal of Clinical Oncology and Transplantation and Cellular Therapy.
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.