Latha Jagannathan
- Epidemiology
- Hepatology top 10%
- Management of Technology and Innovation top 10%
- Hematology
- Infectious Diseases
- Co-authors
- Ankit MathurRajesh ChaudharyNeelam MarwahaA.K. GangulyAmit AgrawalEllen LueckeSuneeta KrishnanMichel Alary
- Topics
- Renal Transplantation Outcomes and Treatments (4 papers)Blood donation and transfusion practices (4 papers)Hepatitis B Virus Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodFrontiers in Immunology
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Latha Jagannathan
12 papers receiving 148 citations
Peers
Comparison fields: 5 of 33
- Epidemiology 95
- Hepatology 57
- Management of Technology and Innovation 42
- Hematology 41
- Infectious Diseases 28
Countries citing papers authored by Latha Jagannathan
This map shows the geographic impact of Latha Jagannathan'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 Latha Jagannathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latha Jagannathan more than expected).
Fields of papers citing papers by Latha Jagannathan
This network shows the impact of papers produced by Latha Jagannathan. 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 Latha Jagannathan. The network helps show where Latha Jagannathan may publish in the future.
Co-authorship network of co-authors of Latha Jagannathan
This figure shows the co-authorship network connecting the top 25 collaborators of Latha Jagannathan. A scholar is included among the top collaborators of Latha Jagannathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Latha Jagannathan. Latha Jagannathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 28 | |
| 14 | Multicenter evaluation of individual donor nucleic acid testing (NAT) for simultaneous detection of human immunodeficiency virus -1 & hepatitis B & C viruses in Indian blood donors. | 56 |
About Latha Jagannathan
Latha Jagannathan is a scholar working on Transplantation, Management of Technology and Innovation and Hematology, having authored 14 papers that have together received 160 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Blood donation and transfusion practices (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (57 citations), Management of Technology and Innovation (42 citations) and Hematology (41 citations). Latha Jagannathan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ankit Mathur, Rajesh Chaudhary, Neelam Marwaha, A.K. Ganguly, Amit Agrawal, Ellen Luecke, Suneeta Krishnan, Michel Alary, Banadakoppa M Ramesh and Reynold Washington. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Frontiers in Immunology.
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.