Anika Agarwal
Impact in
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
Papers in
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- Cell Adhesion Molecules Research 4
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- Blood Coagulation and Thrombosis Mechanisms 6
- Co-authors
- Athan KuliopulosLidija CovicAdrienne BoireSuzanne L. JacquesNicole C. KaneiderAndrew J. LegerNga NguyenDaniel Djakiew
- Journals
- Cancer Research (3 papers)Journal of Clinical Oncology (2 papers)Annals of the New York Academy of Sciences (2 papers)Oncogene (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Anika Agarwal
26 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Hematology 565
- Cancer Research 643
- Immunology and Allergy 204
- Genetics 248
- Oncology 635
Countries citing papers authored by Anika Agarwal
This map shows the geographic impact of Anika Agarwal'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 Anika Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anika Agarwal more than expected).
Fields of papers citing papers by Anika Agarwal
This network shows the impact of papers produced by Anika Agarwal. 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 Anika Agarwal. The network helps show where Anika Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Anika Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 13 | |
| 4 | 2018 | 13 | |
| 5 | 2018 | 90 | |
| 6 | 2015 | 43 | |
| 7 | 2013 | 48 | |
| 8 | 2013 | 35 | |
| 9 | 2011 | 75 | |
| 10 | 2011 | 36 | |
| 11 | 2010 | 94 | |
| 12 | 2010 | 73 | |
| 13 | 2009 | 121 | |
| 14 | 2009 | 36 | |
| 15 | 2008 | 86 | |
| 16 | 2007 | 191 | |
| 17 | 2005 | 117 | |
| 18 | 2005 | 112 | |
| 19 | 2002 | 20 | |
| 20 | Epidermal growth factor promotes MDA-MB-231 breast cancer cell migration through a phosphatidylinositol 3'-kinase and phospholipase C-dependent mechanism. | 1999 | 199 |
About Anika Agarwal
Anika Agarwal is a scholar working on Immunology and Allergy, Hematology, Cancer Research, Genetics and Oncology, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Protease and Inhibitor Mechanisms (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Cell Adhesion Molecules Research (4 papers), Peptidase Inhibition and Analysis (3 papers), Neuropeptides and Animal Physiology (3 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Retinal and Macular Surgery (2 papers). The work is most often cited by research in Hematology (565 citations), Cancer Research (643 citations), Immunology and Allergy (204 citations), Genetics (248 citations) and Oncology (635 citations). Anika Agarwal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Athan Kuliopulos, Lidija Covic, Adrienne Boire, Suzanne L. Jacques, Nicole C. Kaneider, Andrew J. Leger, Nga Nguyen, Daniel Djakiew, John T. Price and Erik W. Thompson. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of the New York Academy of Sciences, Oncogene and Molecular Cancer Therapeutics.
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.