Anuja Java
Impact in
- Immunology top 5%
- Complement system in diseases
- Ophthalmology top 5%
- Retinal Diseases and Treatments
Papers in
- Immunology 36
- Complement system in diseases 36
-
- Renal Diseases and Glomerulopathies 4
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- John P. Atkinson (17 shared papers)M. Kathryn Liszewski (6 shared papers)Alfred H.J. Kim (2 shared papers)Ariella L. G. Coler-Reilly (1 shared paper)Hrishikesh S. Kulkarni (2 shared papers)Anthony J. Apicelli (1 shared paper)Elizabeth C. Schramm (2 shared papers)Richard M. Burwick (6 shared papers)
- Journals
- Journal of the American Society of Nephrology (4 papers)Kidney International Reports (3 papers)Kidney International (3 papers)Blood (2 papers)Transplant International (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Anuja Java
44 papers receiving 835 citations
Peers
Comparison fields: 5 of 57
- Immunology 450
- Ophthalmology 89
- Infectious Diseases 159
- Transplantation 22
- Nephrology 57
Countries citing papers authored by Anuja Java
This map shows the geographic impact of Anuja Java'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 Anuja Java with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuja Java more than expected).
Fields of papers citing papers by Anuja Java
This network shows the impact of papers produced by Anuja Java. 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 Anuja Java. The network helps show where Anuja Java may publish in the future.
Co-authors
The 25 scholars most cited alongside Anuja Java, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 291 | |
| 2 | 2016 | 75 | |
| 3 | 2016 | 49 | |
| 4 | 2015 | 41 | |
| 5 | 2015 | 39 | |
| 6 | 2015 | 36 | |
| 7 | 2012 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2021 | 28 | |
| 10 | 2024 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2019 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2024 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2024 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2022 | 9 |
About Anuja Java
Anuja Java is a scholar working on Immunology, Nephrology, Obstetrics and Gynecology, Transplantation and Ophthalmology, having authored 48 papers that have together received 855 indexed citations. Recurring topics across this work include Complement system in diseases (36 papers), Pregnancy and preeclampsia studies (4 papers), Renal Diseases and Glomerulopathies (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Retinal Diseases and Treatments (2 papers), Diversity and Career in Medicine (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Immunology (450 citations), Ophthalmology (89 citations), Infectious Diseases (159 citations), Transplantation (22 citations) and Nephrology (57 citations). Anuja Java has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John P. Atkinson, M. Kathryn Liszewski, Alfred H.J. Kim, Ariella L. G. Coler-Reilly, Hrishikesh S. Kulkarni, Anthony J. Apicelli, Elizabeth C. Schramm, Richard M. Burwick, Johanna M. Seddon and Jane E. Salmon. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International Reports, Kidney International, Blood and Transplant International.
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.