Nigel J. Lindsey

1.1k total citations
36 papers, 885 citations indexed

About

Nigel J. Lindsey is a scholar working on Pathology and Forensic Medicine, Rheumatology and Immunology. According to data from OpenAlex, Nigel J. Lindsey has authored 36 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 9 papers in Rheumatology and 9 papers in Immunology. Recurrent topics in Nigel J. Lindsey's work include Systemic Lupus Erythematosus Research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Platelet Disorders and Treatments (5 papers). Nigel J. Lindsey is often cited by papers focused on Systemic Lupus Erythematosus Research (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Platelet Disorders and Treatments (5 papers). Nigel J. Lindsey collaborates with scholars based in United Kingdom, United States and Iran. Nigel J. Lindsey's co-authors include Tim Inskipp, M. Greaves, Pamela Hughes, R G Malía, K. Regina Lemke, Markus Gütlich, J.M. Wood, Irmgard Ziegler, Mark R. Pittelkow and Cathy M. Holt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Journal of Clinical Microbiology.

In The Last Decade

Nigel J. Lindsey

34 papers receiving 753 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nigel J. Lindsey United Kingdom 17 181 175 160 156 134 36 885
Celia Chang United States 16 54 0.3× 141 0.8× 24 0.1× 353 2.3× 101 0.8× 19 909
David N. Menton United States 18 139 0.8× 128 0.7× 39 0.2× 431 2.8× 110 0.8× 27 1.1k
Arnout F. Gerritsen Netherlands 21 34 0.2× 673 3.8× 83 0.5× 383 2.5× 90 0.7× 38 1.6k
KH Kim South Korea 20 101 0.6× 359 2.1× 49 0.3× 746 4.8× 32 0.2× 48 1.4k
Thorsten Kurz Germany 18 37 0.2× 265 1.5× 47 0.3× 343 2.2× 93 0.7× 22 962
A Hein United States 23 308 1.7× 1.1k 6.4× 211 1.3× 776 5.0× 49 0.4× 31 2.0k
Peter F. Jezyk United States 24 231 1.3× 101 0.6× 229 1.4× 543 3.5× 12 0.1× 52 1.6k
Younan A. Sidky United States 16 61 0.3× 423 2.4× 41 0.3× 578 3.7× 35 0.3× 29 1.4k
Maurício Camargo Colombia 20 94 0.5× 104 0.6× 143 0.9× 591 3.8× 14 0.1× 57 1.3k
Ching Ching Ng Malaysia 17 45 0.2× 112 0.6× 47 0.3× 471 3.0× 19 0.1× 52 954

Countries citing papers authored by Nigel J. Lindsey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zamani, Alireza, et al.. (2012). Identification and Characterization of Anti-Platelet Antibodies in Idiopathic Thrombocytopenic Purpura Patients. SHILAP Revista de lepidopterología. 2 indexed citations
2.
Lindsey, Nigel J.. (2009). Developing Computer-Based Training for the Transit Industry. 35(3). 1 indexed citations
3.
Hamidpour, Mohsen, et al.. (2006). The isolation and characterisation of antiplatelet antibodies. European Journal Of Haematology. 76(4). 331–338. 8 indexed citations
4.
Lindsey, Nigel J., et al.. (2005). The Role of Endothelial Cell Reactive Antibodies in Peripheral Arterial Disease. European Journal of Vascular and Endovascular Surgery. 31(2). 170–175. 5 indexed citations
5.
Tobin, Desmond J., et al.. (2003). A natural canine homologue of alopecia areata in humans. British Journal of Dermatology. 149(5). 938–950. 25 indexed citations
6.
Schallreuter, Karin U., Sonal Kothari, Sybille Hasse, et al.. (2003). In situ and in vitro evidence for DCoH/HNF-1α transcription of tyrosinase in human skin melanocytes. Biochemical and Biophysical Research Communications. 301(2). 610–616. 21 indexed citations
7.
Krzewski, Konrad, et al.. (2003). Characterization of the anti-DnaJ monoclonal antibodies and their use to compare immunological properties of DnaJ and its human homologue HDJ-1. Cell Stress and Chaperones. 8(1). 8–8. 6 indexed citations
8.
Homer‐Vanniasinkam, Shervanthi, et al.. (2003). The role of endothelial cell reactive antibodies in peripheral vascular disease. Autoimmunity Reviews. 3(2). 39–44. 9 indexed citations
9.
Meroni, Pier Luigi, Nicoletta Del Papa, Boris Gilburd, et al.. (2000). The Story of the Murine Antiendothelial Monoclonal Antibody BGM : From Patients' Bedside to Laboratory Bench and From Animal Models to Patients. Clinical Reviews in Allergy & Immunology. 18(1). 3–10.
10.
Yazıcı, Zihni Açar, et al.. (2000). The Identification of Endothelial Cell Autoantigens. Journal of Autoimmunity. 15(1). 41–49. 20 indexed citations
11.
Yazıcı, Zihni Açar, et al.. (1998). Does the CDR3 of the Heavy Chain Determine the Specificity of Autoantibodies in Systemic Lupus Erythematosus?. Journal of Autoimmunity. 11(5). 477–483. 4 indexed citations
12.
Inskipp, Tim, et al.. (1996). An Annotated Checklist of the Birds of the Oriental Region. 169 indexed citations
13.
Wood, John M., et al.. (1995). A Specific Tetrahydrobiopterin Binding Domain on Tyrosinase Controls Melanogenesis. Biochemical and Biophysical Research Communications. 206(2). 480–485. 54 indexed citations
15.
Lindsey, Nigel J., et al.. (1992). SERUM MASKS THE INHIBITION OF THROMBIN-INDUCED PROSTACYCLIN RELEASE PRODUCED BY ANTICARDIOLIPIN ANTIBODIES. Lara D. Veeken. 31(3). 179–183. 6 indexed citations
16.
Holt, Cathy M., et al.. (1989). PROSTACYCLIN PRODUCTION BY HUMAN UMBILICAL VEIN ENDOTHELIUM IN RESPONSE TO SERUM FROM PATIENTS WITH SYSTEMIC SCLEROSIS. Lara D. Veeken. 28(3). 216–220. 3 indexed citations
17.
Holt, Cathy M., Nigel J. Lindsey, R G Malía, et al.. (1989). Antibody-dependent cellular cytotoxicity of vascular endothelium: characterization and pathogenic associations in systemic sclerosis.. PubMed. 78(3). 359–65. 52 indexed citations
18.
Malía, R G, M. Greaves, Alexandra Lawrence, et al.. (1988). Anticardiolipin antibodies in systemic sclerosis: immunological and clinical associations.. PubMed. 73(3). 456–60. 49 indexed citations
19.
Lindsey, Nigel J., et al.. (1984). A microsurgical technique for simultaneous pancreas and renal transplantation in the rat. Microsurgery. 5(2). 73–75. 1 indexed citations
20.
Lindsey, Nigel J. & William G. Barnes. (1981). Examination of major disagreements in susceptibility test results by Autobac-1 and MS-2. Antimicrobial Agents and Chemotherapy. 20(1). 115–119. 10 indexed citations

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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