David Chappell

39 papers receiving 2.4k citations

Peers

David Chappell
Comparison fields: 5 of 138
  • Cancer Research 568
  • Endocrinology, Diabetes and Metabolism 624
  • Cardiology and Cardiovascular Medicine 585
  • Immunology and Allergy 152
  • Biochemistry 190
Replace Jukka Luoma with:
Jukka Luoma Finland
Itzhak D. Goldberg United States
Michael M. Weinstein United States
Louis Rosenfeld United States
Marina Bianchi Italy
Michael S. Brown United States
Jing Pan United States
Fiona Murray United States
Karine Tremblay Canada
Berit Johansen Norway
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Citations per field
00.5×3.3×
Jukka Luoma · 1×
Citations per year

Countries citing papers authored by David Chappell

Since Specialization
Citations

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

Fields of papers citing papers by David Chappell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993169
2 1994165
3 1997147
4 1992140
5 1995135
6 1994127
7 1984120
8 1993115
9 1995109
10 1995107
11 1994105
12 198098
13 199587
14 199879
15 200176
16
Enterprise Service Bus: Theory in Practice
200472
17 199671
18 198964
19 199563
20 199854

About David Chappell

David Chappell is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Genetics, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Lipid metabolism and disorders (11 papers), Cancer, Lipids, and Metabolism (7 papers), Protease and Inhibitor Mechanisms (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Diabetes and associated disorders (4 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Cancer Research (568 citations), Endocrinology, Diabetes and Metabolism (624 citations), Cardiology and Cardiovascular Medicine (585 citations), Immunology and Allergy (152 citations) and Biochemistry (190 citations). David Chappell has collaborated with scholars based in United States, Sweden and Norway. Frequent co-authors include Dudley K. Strickland, Glenna L. Fry, W. Scott Argraves, Jheem D. Medh, Michelle Waknitz, Marc W. Pladet, Per‐Henrik Iverius, Maria Z. Kounnas, Kathryn G. Lamping and Frank M. Faraci. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Journal of Clinical Investigation, Arteriosclerosis Thrombosis and Vascular Biology and Current Opinion in Lipidology.

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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