Manik Chatterjee
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
-
- Heat shock proteins research 12
- Protein Degradation and Inhibitors 11
- PI3K/AKT/mTOR signaling in cancer 6
- Hematology 36
- Multiple Myeloma Research and Treatments 36
- Co-authors
- Ralf C. Bargou (45 shared papers)Thorsten Stühmer (28 shared papers)Hermann Einsele (30 shared papers)Kurt Bommert (11 shared papers)Bernd Dörken (8 shared papers)Torsten Steinbrunn (11 shared papers)Mindaugas Andrulis (6 shared papers)Pia Herrmann (4 shared papers)
- Journals
- Blood (20 papers)British Journal of Haematology (6 papers)Journal of Clinical Oncology (5 papers)Leukemia (4 papers)Cancer Research (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Manik Chatterjee
84 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 117
- Hematology 844
- Oncology 792
- Molecular Biology 1.7k
- Immunology 385
- Toxicology 60
Countries citing papers authored by Manik Chatterjee
This map shows the geographic impact of Manik Chatterjee'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 Manik Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manik Chatterjee more than expected).
Fields of papers citing papers by Manik Chatterjee
This network shows the impact of papers produced by Manik Chatterjee. 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 Manik Chatterjee. The network helps show where Manik Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Manik Chatterjee, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 179 | |
| 2 | 2005 | 147 | |
| 3 | 2012 | 141 | |
| 4 | 2006 | 126 | |
| 5 | 2004 | 111 | |
| 6 | 2004 | 103 | |
| 7 | 2007 | 96 | |
| 8 | 2002 | 78 | |
| 9 | 2010 | 76 | |
| 10 | 2008 | 73 | |
| 11 | 2015 | 72 | |
| 12 | 2010 | 71 | |
| 13 | 2019 | 70 | |
| 14 | 2020 | 70 | |
| 15 | 2011 | 64 | |
| 16 | 2008 | 63 | |
| 17 | 2017 | 63 | |
| 18 | 2017 | 62 | |
| 19 | 2013 | 58 | |
| 20 | 2001 | 57 |
About Manik Chatterjee
Manik Chatterjee is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Organic Chemistry, having authored 89 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (36 papers), Heat shock proteins research (12 papers), Protein Degradation and Inhibitors (11 papers), Cancer Mechanisms and Therapy (9 papers), Toxin Mechanisms and Immunotoxins (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Hematology (844 citations), Oncology (792 citations), Molecular Biology (1.7k citations), Immunology (385 citations) and Toxicology (60 citations). Manik Chatterjee has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ralf C. Bargou, Thorsten Stühmer, Hermann Einsele, Kurt Bommert, Bernd Dörken, Torsten Steinbrunn, Mindaugas Andrulis, Pia Herrmann, Andreas Rosenwald and Stephan Mathas. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Leukemia and Cancer Research.
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.