Anuja Java
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Immunology 30
- Complement system in diseases 30
- Nephrology 16
- Renal Diseases and Glomerulopathies 15
- Co-authors
- M. Kathryn Liszewski (5 shared papers)John P. Atkinson (13 shared papers)Alfred H.J. Kim (2 shared papers)John Atkinson (3 shared papers)Anthony J. Apicelli (1 shared paper)Hrishikesh S. Kulkarni (1 shared paper)Ariella Coler‐Reilly (1 shared paper)Elizabeth C. Schramm (2 shared papers)
- Journals
- Journal of the American Society of Nephrology (5 papers)Kidney International Reports (3 papers)Frontiers in Immunology (2 papers)Transplant International (2 papers)American Journal of Transplantation (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Anuja Java
35 papers receiving 643 citations
Peers
Comparison fields: 5 of 71
- Nephrology 148
- Transplantation 56
- Immunology 359
- Infectious Diseases 209
- Obstetrics and Gynecology 75
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 249 | |
| 2 | 2016 | 64 | |
| 3 | 2016 | 41 | |
| 4 | 2015 | 36 | |
| 5 | 2015 | 33 | |
| 6 | 2015 | 31 | |
| 7 | 2012 | 30 | |
| 8 | 2020 | 24 | |
| 9 | 2021 | 22 | |
| 10 | 2019 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Anuja Java
Anuja Java is a scholar working on Immunology, Nephrology, Hematology, Genetics and Transplantation, having authored 39 papers that have together received 650 indexed citations. Recurring topics across this work include Complement system in diseases (30 papers), Renal Diseases and Glomerulopathies (15 papers), Renal Transplantation Outcomes and Treatments (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Neurological Complications and Syndromes (6 papers), Retinal Diseases and Treatments (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Nephrology (148 citations), Transplantation (56 citations), Immunology (359 citations), Infectious Diseases (209 citations) and Obstetrics and Gynecology (75 citations). Anuja Java has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include M. Kathryn Liszewski, John P. Atkinson, Alfred H.J. Kim, John Atkinson, Anthony J. Apicelli, Hrishikesh S. Kulkarni, Ariella Coler‐Reilly, Elizabeth C. Schramm, Jane E. Salmon and Johanna M. Seddon. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International Reports, Frontiers in Immunology, Transplant International and American Journal of Transplantation.
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.