Divya Mekala
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 2
- Immunodeficiency and Autoimmune Disorders 1
- Genetics 2
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Co-authors
- Terrence L. Geiger (6 shared papers)Rajshekhar Alli (2 shared papers)Peter C. Doherty (1 shared paper)Nick Carpino (1 shared paper)Heesuk Zang (1 shared paper)Yutaka Takahashi (1 shared paper)James N. Ihle (1 shared paper)Junichi Hirahashi (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Immunity (2 papers)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Divya Mekala
11 papers receiving 560 citations
Peers
Comparison fields: 5 of 63
- Immunology 393
- Immunology and Allergy 78
- Oncology 98
- Hematology 26
- Genetics 22
Countries citing papers authored by Divya Mekala
This map shows the geographic impact of Divya Mekala'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 Divya Mekala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Mekala more than expected).
Fields of papers citing papers by Divya Mekala
This network shows the impact of papers produced by Divya Mekala. 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 Divya Mekala. The network helps show where Divya Mekala may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Mekala, 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 | 2004 | 135 | |
| 2 | 2006 | 101 | |
| 3 | 2004 | 92 | |
| 4 | 2005 | 79 | |
| 5 | 2010 | 63 | |
| 6 | 2005 | 37 | |
| 7 | 2005 | 24 | |
| 8 | 2008 | 17 | |
| 9 | 2020 | 10 | |
| 10 | 2003 | 7 | |
| 11 | 2015 | 1 |
About Divya Mekala
Divya Mekala is a scholar working on Immunology, Genetics, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 11 papers that have together received 566 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Response and Inflammation (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), NF-κB Signaling Pathways (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Immunology (393 citations), Immunology and Allergy (78 citations), Oncology (98 citations), Hematology (26 citations) and Genetics (22 citations). Divya Mekala has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Terrence L. Geiger, Rajshekhar Alli, Peter C. Doherty, Nick Carpino, Heesuk Zang, Yutaka Takahashi, James N. Ihle, Junichi Hirahashi, Denisa D. Wagner and Jessica Van Ziffle. Their work appears in journals such as The Journal of Immunology, Immunity, Blood, Proceedings of the National Academy of Sciences and Annals of the Rheumatic Diseases.
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.