Jean‐Daniel Graf

1.1k total citations
14 papers, 861 citations indexed

About

Jean‐Daniel Graf is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Jean‐Daniel Graf has authored 14 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Jean‐Daniel Graf's work include Sepsis Diagnosis and Treatment (4 papers), Insect Resistance and Genetics (3 papers) and Insect and Pesticide Research (2 papers). Jean‐Daniel Graf is often cited by papers focused on Sepsis Diagnosis and Treatment (4 papers), Insect Resistance and Genetics (3 papers) and Insect and Pesticide Research (2 papers). Jean‐Daniel Graf collaborates with scholars based in Switzerland, United States and France. Jean‐Daniel Graf's co-authors include Peter Rohner, Jérôme Pugin, Vandack Nobre, Stéphan Harbarth, H. Kobel, Frederick M. Cohan, François R. Herrmann, M. Fischberg, G. Gavazzi and Karl Heinz Krause and has published in prestigious journals such as Development, American Journal of Respiratory and Critical Care Medicine and Evolution.

In The Last Decade

Jean‐Daniel Graf

14 papers receiving 828 citations

Peers

Jean‐Daniel Graf
Comparison fields: 5 of 88
  • Epidemiology 431
  • Critical Care and Intensive Care Medicine 264
  • Molecular Biology 156
  • Surgery 97
  • Public Health, Environmental and Occupational Health 91
Replace A. Boillot with:
A. Boillot France
Christophe Garenc Canada
Margot Lemieux Canada
Benjamin Miller United States
Robert J. Hoffman United States
Hye Young Jin South Korea
Rik Heijligenberg Netherlands
Nan Chen China
M. Van Der Straeten Belgium
Larry Tsai United States
A. Boillot France View profile →
Citations per field, relative to Jean‐Daniel Graf
Jean‐Daniel Graf · 1×
Citations per year, relative to Jean‐Daniel Graf
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Countries citing papers authored by Jean‐Daniel Graf

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Daniel Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Daniel Graf. 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 Jean‐Daniel Graf. The network helps show where Jean‐Daniel Graf may publish in the future.

Co-authorship network of co-authors of Jean‐Daniel Graf

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 15
2 31
3 1
4 2
5 424
6 64
7 10
8 56
9 107
10 10
11 26
12 24
13 69
14 22

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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