Anuja Java

39 papers receiving 689 citations

Peers

Anuja Java
Comparison fields: 5 of 69
  • Nephrology 137
  • Transplantation 47
  • Immunology 380
  • Infectious Diseases 194
  • Ophthalmology 73
Replace Anne‐Laure Lapeyraque with:
Anne‐Laure Lapeyraque Canada
Arnaud Garnier France
Florian Kälble Germany
Paramit Chowdhury United Kingdom
Brendan Clark United Kingdom
Atif Awan Ireland
Ioannis Boletis Greece
Enrico Minetti Italy
Joshua Kausman Australia
Samhar Al‐Akash United States
Anuja Java relative to Anne‐Laure Lapeyraque Canada Anne‐Laure Lapeyraque's profile →
Citations per field
00.5×9.2×
Anne‐Laure Lapeyraque · 1×
Citations per year

Countries citing papers authored by Anuja Java

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anuja Java Line = papers co-authored together Anuja Java links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020256
2 201669
3 201645
4 201537
5 201535
6 201533
7 201231
8 202025
9 202123
10 202317
11 202116
12 201916
13 202314
14 20238
15 20228
16 20228
17 20256
18 20226
19 20246
20 20205

About Anuja Java

Anuja Java is a scholar working on Immunology, Nephrology, Hematology, Genetics and Transplantation, having authored 42 papers that have together received 699 indexed citations. Recurring topics across this work include Complement system in diseases (33 papers), Renal Diseases and Glomerulopathies (17 papers), Renal Transplantation Outcomes and Treatments (6 papers), Neurological Complications and Syndromes (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Nephrology (137 citations), Transplantation (47 citations), Immunology (380 citations), Infectious Diseases (194 citations) and Ophthalmology (73 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, Ariella Coler‐Reilly, Hrishikesh S. Kulkarni, Anthony J. Apicelli, Elizabeth C. Schramm, Johanna M. Seddon and Jane E. Salmon. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International Reports, American Journal of Transplantation, Transplant International and Clinical Journal of the American Society of Nephrology.

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.

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