Nigel J. Lindsey
- Cell Biology top 10%
- Immunology
- Rheumatology top 10%
- Molecular Biology
- Dermatology top 5%
- Co-authors
- Tim InskippM. GreavesPamela HughesR G MalíaJ.M. WoodIrmgard ZieglerMark R. PittelkowMarkus Gütlich
- Topics
- Systemic Lupus Erythematosus Research (8 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Platelet Disorders and Treatments (5 papers)
- Cited by
- DermatologyCell BiologyRheumatology
- Journals
- SHILAP Revista de lepidopterologíaBiochemical and Biophysical Research CommunicationsJournal of Clinical Microbiology
- Partner nations
- United KingdomIranUnited States
In The Last Decade
Nigel J. Lindsey
34 papers receiving 753 citations
Peers
Comparison fields: 5 of 103
- Cell Biology 181
- Immunology 175
- Rheumatology 160
- Molecular Biology 156
- Dermatology 134
Countries citing papers authored by Nigel J. Lindsey
This map shows the geographic impact of Nigel J. Lindsey'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 Nigel J. Lindsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel J. Lindsey more than expected).
Fields of papers citing papers by Nigel J. Lindsey
This network shows the impact of papers produced by Nigel J. Lindsey. 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 Nigel J. Lindsey. The network helps show where Nigel J. Lindsey may publish in the future.
Co-authorship network of co-authors of Nigel J. Lindsey
This figure shows the co-authorship network connecting the top 25 collaborators of Nigel J. Lindsey. A scholar is included among the top collaborators of Nigel J. Lindsey 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 Nigel J. Lindsey. Nigel J. Lindsey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Identification and Characterization of Anti-Platelet Antibodies in Idiopathic Thrombocytopenic Purpura Patients | 2 |
| 2 | 30 | |
| 3 | Developing Computer-Based Training for the Transit Industry | 1 |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 21 | |
| 10 | 9 | |
| 11 | 20 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | An Annotated Checklist of the Birds of the Oriental Region | 169 |
| 15 | 54 | |
| 16 | 22 | |
| 17 | 35 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 37 |
About Nigel J. Lindsey
Nigel J. Lindsey is a scholar working on Transplantation, Hematology and Rheumatology, having authored 36 papers that have together received 885 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Platelet Disorders and Treatments (5 papers). The work is most often cited by research in Dermatology (134 citations), Cell Biology (181 citations) and Rheumatology (160 citations). Nigel J. Lindsey has collaborated with scholars based in United Kingdom, Iran and United States. Frequent co-authors include Tim Inskipp, M. Greaves, Pamela Hughes, R G Malía, J.M. Wood, Irmgard Ziegler, Mark R. Pittelkow, Markus Gütlich, K. Regina Lemke and Cathy M. Holt. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Journal of Clinical Microbiology.
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.