Diane C. Markesich

1.5k total citations
16 papers, 847 citations indexed

About

Diane C. Markesich is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Diane C. Markesich has authored 16 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Diane C. Markesich's work include Mycobacterium research and diagnosis (7 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Tuberculosis Research and Epidemiology (3 papers). Diane C. Markesich is often cited by papers focused on Mycobacterium research and diagnosis (7 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Tuberculosis Research and Epidemiology (3 papers). Diane C. Markesich collaborates with scholars based in United States, United Kingdom and Bahrain. Diane C. Markesich's co-authors include David Y. Graham, H H Yoshimura, F A el-Zaatari, Adrienne L. McNees, M. Moss, Mark Tizard, John Hermon-Taylor, Jeremy Sanderson, Michael Nazimiec and Kathleen Gajewski and has published in prestigious journals such as Gastroenterology, Development and Gut.

In The Last Decade

Diane C. Markesich

16 papers receiving 812 citations

Peers

Diane C. Markesich
Comparison fields: 5 of 89
  • Epidemiology 441
  • Molecular Biology 317
  • Infectious Diseases 217
  • Genetics 208
  • Surgery 177
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J A Coutu United States
B.W. Manktelow New Zealand
Michael Käser Switzerland
Nicolas Nalpas Ireland
Chang-Yong Cha South Korea
Sandy White United States
Chiew Ko United States
Marc Loyens France
I Héron United Kingdom
Theo Verboom Netherlands
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Citations per field, relative to Diane C. Markesich
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Citations per year, relative to Diane C. Markesich
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Countries citing papers authored by Diane C. Markesich

Since Specialization
Citations

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

Fields of papers citing papers by Diane C. Markesich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane C. Markesich

This figure shows the co-authorship network connecting the top 25 collaborators of Diane C. Markesich. A scholar is included among the top collaborators of Diane C. Markesich 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 Diane C. Markesich. Diane C. Markesich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 25
2 94
3 100
4 13
5 32
6 85
7 1
8 73
9 35
10 4
11 152
12 32
13 41
14 37
15 30
16 93

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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