F. Gráf

21 papers receiving 390 citations

Peers

F. Gráf
Comparison fields: 5 of 62
  • Aquatic Science 49
  • Cellular and Molecular Neuroscience 101
  • Genetics 144
  • Ecology 98
  • Molecular Biology 204
Replace Atsumi Shimozawa with:
Atsumi Shimozawa Japan
Chang-Jen Huang Taiwan
Carol M. Park Canada
Arif Kocabas United States
Zhong‐Min Dai China
Nora B. Caberoy United States
Tsutomu Kinoshita Japan
Laetitia Bataillé France
Hsi‐Yuan Yang Taiwan
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985116
2 201231
3 198230
4 198230
5 198630
6 198728
7 197527
8 198426
9 197324
10 198716
11 198915
12 198613
13 199110
14 19926
15 19844
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 22 papers that have together received 420 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), Crustacean biology and ecology (3 papers), Physiological and biochemical adaptations (3 papers), CRISPR and Genetic Engineering (3 papers), Aquaculture Nutrition and Growth (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Aquatic Science (49 citations), Cellular and Molecular Neuroscience (101 citations), Genetics (144 citations), Ecology (98 citations) and Molecular Biology (204 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, J.P. Delbecque, H. J. Schatzmann, Hans‐Georg Kräusslich, Г. Брем, H. M. Goodman, Bertram Brenig and E.‐L. Winnacker. Their work appears in journals such as General and Comparative Endocrinology, Histochemistry and Cell Biology, Reproduction in Domestic Animals, European Cells and Materials 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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