Steve Chaplin

1.3k citations
240 papers · 915 · h-index 12

Impact in

Papers in

Steve Chaplin

189 papers receiving 836 citations

Peers

Steve Chaplin
Comparison fields: 5 of 103
  • Hematology 127
  • Psychiatry and Mental health 136
  • Drug Discovery 2
  • Geriatrics and Gerontology 18
  • Endocrinology, Diabetes and Metabolism 71
Replace Steven J Edwards with:
Steven J Edwards United Kingdom
Élodie Speyer France
Syed Atiqul Haq Bangladesh
Christine de la Loge United States
Diana Mansour United Kingdom
Nand K. Wadhwa United States
Renee F. Robinson United States
Kristine M. Carandang United States
John M. Fastenau United States
Giulio Di Mizio Italy
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Citations per field
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Steven J Edwards · 1×
Citations per year

Countries citing papers authored by Steve Chaplin

Since Specialization
Citations

This map shows the geographic impact of Steve Chaplin'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 Steve Chaplin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Chaplin more than expected).

Fields of papers citing papers by Steve Chaplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Chaplin. 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 Steve Chaplin. The network helps show where Steve Chaplin may publish in the future.

Co-authors

The 25 scholars most cited alongside Steve Chaplin, 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 Steve Chaplin Line = papers co-authored together Steve Chaplin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018138
2 2019127
3 202031
4 202027
5 202227
6 202125
7 201621
8 202021
9 201716
10 199714
11 198813
12 198412
13 202211
14 201410
15 20169
16 20179
17 20128
18 20158
19 20167
20 20177

About Steve Chaplin

Steve Chaplin is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology, Rheumatology, Psychiatry and Mental health and Geriatrics and Gerontology, having authored 240 papers that have together received 915 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (22 papers), Hemophilia Treatment and Research (15 papers), Pharmaceutical Economics and Policy (13 papers), Rheumatoid Arthritis Research and Therapies (10 papers), Asthma and respiratory diseases (9 papers), Diabetes Management and Research (8 papers), Reproductive Health and Contraception (8 papers) and Psoriasis: Treatment and Pathogenesis (7 papers). The work is most often cited by research in Hematology (127 citations), Psychiatry and Mental health (136 citations), Drug Discovery (2 citations), Geriatrics and Gerontology (18 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Steve Chaplin has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Kate Khair, Simon J. Fletcher, Debra Pollard, David Nicholas Bateman, S. T. Knuth, Sunil Bhandari, Felipe Andres Castro, Camelia S. Sima, Stephen Charles Bain and Jamie O’Hara. Their work appears in journals such as Prescriber, Haemophilia, The Lancet, Research and Practice in Thrombosis and Haemostasis and Journal of Comparative Physiology B.

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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