Kiran Nistala
- Immunology top 2%
- Rheumatology top 2%
- Epidemiology top 10%
- Hematology top 2%
- Molecular Biology
- Co-authors
- Lucy R. WedderburnHalima MoncrieffeSimona UrsuHemlata VarsaniLisa G. RiderJ. Grimley EvansPatricia HunterKaty Newton
- Topics
- Autoimmune and Inflammatory Disorders Research (15 papers)Immune Cell Function and Interaction (11 papers)Inflammatory Myopathies and Dermatomyositis (9 papers)
- Cited by
- ImmunologyHematologyRheumatology
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Kiran Nistala
39 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 85
- Immunology 1.2k
- Rheumatology 491
- Epidemiology 426
- Hematology 423
- Molecular Biology 396
Countries citing papers authored by Kiran Nistala
This map shows the geographic impact of Kiran Nistala'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 Kiran Nistala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiran Nistala more than expected).
Fields of papers citing papers by Kiran Nistala
This network shows the impact of papers produced by Kiran Nistala. 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 Kiran Nistala. The network helps show where Kiran Nistala may publish in the future.
Co-authorship network of co-authors of Kiran Nistala
This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Nistala. A scholar is included among the top collaborators of Kiran Nistala 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 Kiran Nistala. Kiran Nistala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 137 | |
| 3 | 69 | |
| 4 | 75 | |
| 5 | 26 | |
| 6 | 111 | |
| 7 | 12 | |
| 8 | 76 | |
| 9 | 42 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 54 | |
| 14 | Expression of miRNAs miR-133b and miR-206 in the Il17a/f Locus Is Co-Regulated with IL-17 Production in alpha beta and gamma delta T Cells | 14 |
| 15 | Th17 cells that undergo plasticity to a Th1 phenotype in human autoimmune arthritis can be detected by the expression of CD161 within the inflamed joint | 2 |
| 16 | 50 | |
| 17 | 335 | |
| 18 | 51 | |
| 19 | 2 | |
| 20 | 3 |
About Kiran Nistala
Kiran Nistala is a scholar working on Hematology, Immunology and Rheumatology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (15 papers), Immune Cell Function and Interaction (11 papers) and Inflammatory Myopathies and Dermatomyositis (9 papers). The work is most often cited by research in Immunology (1.2k citations), Hematology (423 citations) and Rheumatology (491 citations). Kiran Nistala has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Lucy R. Wedderburn, Halima Moncrieffe, Simona Ursu, Hemlata Varsani, Lisa G. Rider, J. Grimley Evans, Patricia Hunter, Katy Newton, Mona Bajaj‐Elliott and Stuart Adams. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.
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.