Carol Haynes

5.6k total citations
70 papers, 3.4k citations indexed

About

Carol Haynes is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Carol Haynes has authored 70 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Genetics and 12 papers in Physiology. Recurrent topics in Carol Haynes's work include Genetic Associations and Epidemiology (11 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Diet and metabolism studies (7 papers). Carol Haynes is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Diet and metabolism studies (7 papers). Carol Haynes collaborates with scholars based in United States, United Kingdom and Germany. Carol Haynes's co-authors include Svati H. Shah, William E. Kraus, Elizabeth R. Hauser, Christopher B. Newgard, James R. Bain, Michael J. Muehlbauer, L. Kristin Newby, David R. Crosslin, Christopher B. Granger and Robert Stevens and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Carol Haynes

70 papers receiving 3.3k citations

Peers

Carol Haynes
Comparison fields: 5 of 135
  • Molecular Biology 1.7k
  • Physiology 959
  • Cardiology and Cardiovascular Medicine 589
  • Epidemiology 449
  • Genetics 343
Replace Daya R. Varma with:
Daya R. Varma Canada
Aline Meirhaeghe France
Yimin Zhu China
Minoru Ohno Japan
Toru Nabika Japan
Gary Bradwin United States
Carlos Bernal‐Mizrachi United States
Masashi Akaike Japan
Cornelia Huth Germany
Rainer Malik Germany
Daya R. Varma Canada View profile →
Citations per field, relative to Carol Haynes
Carol Haynes · 1×
Citations per year, relative to Carol Haynes
Carol Haynes · 1×

Countries citing papers authored by Carol Haynes

Since Specialization
Citations

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

Fields of papers citing papers by Carol Haynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Haynes

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Haynes. A scholar is included among the top collaborators of Carol Haynes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol Haynes. Carol Haynes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 42
3 22
4 1
5 61
6 24
7 16
8 116
9 9
10 47
11 280
12 14
13
Abstract 1261: Plasma Metabolomic Profiles Predict Future Cardiovascular Events
1
14 46
15 18
16 23
17 37
18 32
19 2
20 1

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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