J. Stocks

2.8k citations
75 papers · 2.2k · h-index 23

Impact in

Papers in

J. Stocks

73 papers receiving 2.1k citations

Peers

J. Stocks
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 858
  • Biochemistry 193
  • Cardiology and Cardiovascular Medicine 613
  • Hematology 265
  • Surgery 704
Replace Christian Landou with:
Christian Landou Sweden
Peter Båvenholm Sweden
Junji Koizumi Japan
Elspeth B. Smith United Kingdom
John W. Gaubatz United States
Hideki Hidaka Japan
J.G. Brook Israel
A M Scanu United States
J C Fruchart France
P Avogaro Italy
J. Stocks relative to Christian Landou Sweden Christian Landou's profile →
Citations per field
00.5×1.6×
Christian Landou · 1×
Citations per year

Countries citing papers authored by J. Stocks

Since Specialization
Citations

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

Fields of papers citing papers by J. Stocks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991240
2 1983197
3 1981194
4 1985133
5 1994131
6 1989113
7 199289
8 198584
9 199083
10 198265
11 198560
12 198753
13 198652
14 198850
15 197942
16 199237
17 198736
18
Haplotypes identified by DNA restriction-fragment-length polymorphisms in the A-1 C-III A-IV gene region and hypertriglyceridemia.
198734
19 199831
20 198029

About J. Stocks

J. Stocks is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Cancer Research, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (28 papers), Lipid metabolism and disorders (26 papers), Lipoproteins and Cardiovascular Health (21 papers), Metabolism, Diabetes, and Cancer (12 papers), Cancer, Lipids, and Metabolism (9 papers), Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (6 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (858 citations), Biochemistry (193 citations), Cardiology and Cardiovascular Medicine (613 citations), Hematology (265 citations) and Surgery (704 citations). J. Stocks has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include D. J. Galton, A. Rees, John M.C. Gutteridge, James A. Thorn, David Galton, Francisco E. Baralle, Carol C. Shoulders, G. Holdsworth, M. F. Murphy and Henry M. Rinder. Their work appears in journals such as Clinical Science, Nucleic Acids Research, Atherosclerosis, Human Genetics and Journal of Lipid Research.

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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