C. Long

31 papers receiving 1.5k citations

C. Long's Hit Papers

The structure of the naturally occurring phosphoglycerides. 3. Action of moccasin-venom phospholipase A on ovolecithin and related substances 1957 · 525 citations
5250+23+46Years since publication100200300400500

Peers

C. Long
Comparison fields: 5 of 103
  • Biochemistry 414
  • Clinical Biochemistry 165
  • Molecular Biology 1.0k
  • Physiology 357
  • Cell Biology 219
Replace Vladimir P. Skipski with:
Vladimir P. Skipski United States
Marion Barclay United States
Lewis C. Mokrasch United States
E. Klenk Germany
Harold L. Segal United States
Mahlon B. Hoagland United States
Richard S. Schweet United States
Warren L. Zahler United States
P.W. Holloway United States
C.J. Bos Netherlands
C. Long relative to Vladimir P. Skipski United States Vladimir P. Skipski's profile →
Citations per field
00.5×1.5×
Vladimir P. Skipski · 1×
Citations per year

Countries citing papers authored by C. Long

Since Specialization
Citations

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

Fields of papers citing papers by C. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside C. Long, 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 C. Long Line = papers co-authored together C. Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The structure of the naturally occurring phosphoglycerides. 3. Action of moccasin-venom phospholipase A on ovolecithin and related substances
Hit paper breakdown →
1957525
2 1958255
3 1968169
4 1961108
5 1952105
6 197190
7 196588
8 196766
9 196755
10 195948
11 195330
12 196228
13 195423
14 196522
15 195321
16 196119
17 196417
18 196517
19 195514
20 196512

About C. Long

C. Long is a scholar working on Molecular Biology, Physiology, Biochemistry, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Enzyme function and inhibition (4 papers), Diet, Metabolism, and Disease (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Pancreatic function and diabetes (4 papers), Reproductive Physiology in Livestock (4 papers) and Animal health and immunology (3 papers). The work is most often cited by research in Biochemistry (414 citations), Clinical Biochemistry (165 citations), Molecular Biology (1.0k citations), Physiology (357 citations) and Cell Biology (219 citations). C. Long has collaborated with scholars based in United Kingdom, United States and Bosnia and Herzegovina. Frequent co-authors include I. F. Penny, David G. Harrison, E. R. Miller, D. E. Ullrey, Bernard Vincent, Mark Maguire, B. Shapiro, K. Owens, B.E. Brent and J. A. Hoefer. Their work appears in journals such as Journal of Animal Science, Journal of Nutrition, Reproductive Sciences, The Journal of Physiology and Experimental Biology and Medicine.

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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