F. Gráf

21 papers receiving 420 citations

Peers

F. Gráf
Comparison fields: 5 of 62
  • Aquatic Science 49
  • Genetics 173
  • Cellular and Molecular Neuroscience 105
  • Ecology 100
  • Molecular Biology 232
Replace Atsumi Shimozawa with:
Atsumi Shimozawa Japan
Chang-Jen Huang Taiwan
Carol M. Park Canada
Chester A. Bisbee United States
Nora B. Caberoy United States
Tsutomu Kinoshita Japan
Arif Kocabas United States
Zhong‐Min Dai China
Teiichi Betchaku United States
John J. Willoughby United States
F. Gráf relative to Atsumi Shimozawa Japan Atsumi Shimozawa's profile →
Citations per field
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Atsumi Shimozawa · 1×
Citations per year

Countries citing papers authored by F. Gráf

Since Specialization
Citations

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

Fields of papers citing papers by F. Gráf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985141
2 198232
3 198232
4 201231
5 198630
6 198729
7 197328
8 198427
9 197527
10 198717
11 198915
12 198613
13 199111
14 19926
15 19845
16
Gene transfer in rabbits and pigs.
19863
17 19873
18
Taxonomy and ecology of a new hypogeous Basidiomycete, Hymenogaster saliciphilus, new species, from the alpine zone of the Grisons
19933
19
[Production of monozygotic bovine twins by embryo microsurgery].
19832
20 19942

About F. Gráf

F. Gráf is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Genetics and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 459 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Environmental Toxicology and Ecotoxicology (4 papers), Animal Genetics and Reproduction (3 papers), Marine Biology and Ecology Research (3 papers), Crustacean biology and ecology (3 papers), Physiological and biochemical adaptations (3 papers), CRISPR and Genetic Engineering (3 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Aquatic Science (49 citations), Genetics (173 citations), Cellular and Molecular Neuroscience (105 citations), Ecology (100 citations) and Molecular Biology (232 citations). F. Gráf has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Jean‐Claude Meyran, Ch. Noirot, C. Noirot-Timothée, Г. Брем, J.P. Delbecque, Hans‐Georg Kräusslich, Bertram Brenig, J Meyer, H. J. Schatzmann and H. M. Goodman. Their work appears in journals such as Histochemistry and Cell Biology, General and Comparative Endocrinology, Journal of Insect Physiology, The Journal of Physiology and Theriogenology.

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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