Vikas Madan
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- T-cell and B-cell Immunology
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 13
- Immunology 11
- T-cell and B-cell Immunology 4
- Co-authors
- H. Phillip Koeffler (23 shared papers)Hans-Reimer Rodewald (4 shared papers)Hans Jörg Fehling (5 shared papers)Carmen A. Blum (3 shared papers)Susan Schlenner (2 shared papers)Deepika Kanojia (9 shared papers)Annette Tietz (1 shared paper)Katrin Busch (1 shared paper)
- Journals
- Blood (8 papers)Leukemia (6 papers)Haematologica (5 papers)Cell stem cell (2 papers)Cancer Research (2 papers)
- Partner nations
- SingaporeUnited StatesGermany
In The Last Decade
Vikas Madan
42 papers receiving 2.6k citations
Vikas Madan's Hit Papers
Peers
Comparison fields: 5 of 90
- Hematology 666
- Immunology 906
- Cancer Research 325
- Molecular Biology 1.2k
- Genetics 154
Countries citing papers authored by Vikas Madan
This map shows the geographic impact of Vikas Madan'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 Vikas Madan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Madan more than expected).
Fields of papers citing papers by Vikas Madan
This network shows the impact of papers produced by Vikas Madan. 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 Vikas Madan. The network helps show where Vikas Madan may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas Madan, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Developmental Analysis of Bone Marrow Neutrophils Reveals Populations Specialized in Expansion, Trafficking, and Effector Functions Hit paper breakdown → | 2018 | 544 |
| 2 | 2010 | 256 | |
| 3 | 2015 | 191 | |
| 4 | 2015 | 179 | |
| 5 | 2015 | 122 | |
| 6 | 2014 | 120 | |
| 7 | 2016 | 111 | |
| 8 | 2012 | 90 | |
| 9 | 2009 | 89 | |
| 10 | 2008 | 77 | |
| 11 | 2016 | 71 | |
| 12 | 2013 | 70 | |
| 13 | 2016 | 68 | |
| 14 | 2019 | 59 | |
| 15 | 2014 | 57 | |
| 16 | 2017 | 54 | |
| 17 | 2009 | 52 | |
| 18 | 2020 | 50 | |
| 19 | 2016 | 46 | |
| 20 | 2019 | 40 |
About Vikas Madan
Vikas Madan is a scholar working on Hematology, Immunology, Cancer Research, Molecular Biology and Genetics, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Protein Degradation and Inhibitors (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Chromatin Remodeling and Cancer (4 papers), T-cell and B-cell Immunology (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Hematology (666 citations), Immunology (906 citations), Cancer Research (325 citations), Molecular Biology (1.2k citations) and Genetics (154 citations). Vikas Madan has collaborated with scholars based in Singapore, United States and Germany. Frequent co-authors include H. Phillip Koeffler, Hans-Reimer Rodewald, Hans Jörg Fehling, Carmen A. Blum, Susan Schlenner, Deepika Kanojia, Annette Tietz, Katrin Busch, Henry He Yang and Manoj Garg. Their work appears in journals such as Blood, Leukemia, Haematologica, Cell stem cell 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.