Christopher M. Asplin

1.7k citations
11 papers · 1.3k · 1 hit paper · h-index 10

Impact in

Papers in

Christopher M. Asplin

11 papers receiving 1.3k citations

Christopher M. Asplin's Hit Papers

Insulin Antibodies in Insulin-Dependent Diabetics Before Insulin Treatment 1983 · 827 citations
8270+14+28Years since publication250500750

Peers

Christopher M. Asplin
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 971
  • Genetics 891
  • Surgery 762
  • Endocrine and Autonomic Systems 84
  • Reproductive Medicine 84
Replace Pierre Lecomte with:
Pierre Lecomte France
K Zuppinger Switzerland
Marialuisa Spoletini Italy
Nicola Bridges United Kingdom
Marc de Kerdanet France
Urs Zumsteg Switzerland
N. S. Bassett New Zealand
O Zwermann Germany
R. J. M. Croughs Netherlands
María Gabriela Ropelato Argentina
Christopher M. Asplin relative to Pierre Lecomte France Pierre Lecomte's profile →
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Citations per year

Countries citing papers authored by Christopher M. Asplin

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Asplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Asplin. 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 Christopher M. Asplin. The network helps show where Christopher M. Asplin may publish in the future.

Co-authors

The 22 scholars most cited alongside Christopher M. Asplin, 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 Christopher M. Asplin Line = papers co-authored together Christopher M. Asplin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Insulin Antibodies in Insulin-Dependent Diabetics Before Insulin Treatment
Hit paper breakdown →
1983827
2 1992150
3 1989134
4 199460
5 198234
6 198234
7 198223
8 199021
9 198315
10 198311
11 19818

About Christopher M. Asplin

Christopher M. Asplin is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Endocrine and Autonomic Systems and Molecular Biology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers), Regulation of Appetite and Obesity (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Diabetes Treatment and Management (2 papers), Bone health and osteoporosis research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (971 citations), Genetics (891 citations), Surgery (762 citations), Endocrine and Autonomic Systems (84 citations) and Reproductive Medicine (84 citations). Christopher M. Asplin has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Jerry P. Palmer, Kenneth Lyen, Thomas L. Paquette, William S. Evans, R Booth, Johannes D. Veldhuis, Michael O. Thorner, Ali Iranmanesh, AMILTON C. S. FARIA and Priscilla Hollander. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics, Endocrinology and Diabetes Care.

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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