Gabriela Obexer‐Ruff

1.3k citations
28 papers · 1.0k indexed · h-index 17
Topics
Genetic and phenotypic traits in livestock (16 papers)Genetic diversity and population structure (10 papers)T-cell and B-cell Immunology (6 papers)
Partner nations
SwitzerlandSpainItaly

In The Last Decade

Gabriela Obexer‐Ruff

28 papers receiving 938 citations

Peers

Gabriela Obexer‐Ruff
Comparison fields: 5 of 69
  • Genetics 726
  • Ecology 176
  • Molecular Biology 160
  • Agronomy and Crop Science 148
  • Immunology 108
Replace Ellen Sherwood with:
Ellen Sherwood Sweden
Trevor C. Bruen New Zealand
Guillermo Giovambattista Argentina
Richard Ducatelle Belgium
Roberta Lecis Italy
J. S. Gavora Canada
Emma K. Finlay Ireland
Yu Matsuura Japan
C. Conyers United Kingdom
S. Tembely Mali
Gabriela Obexer‐Ruff relative to Ellen Sherwood Sweden Ellen Sherwood's profile →
Citations per field
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Ellen Sherwood · 1×
Citations per year

Countries citing papers authored by Gabriela Obexer‐Ruff

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Obexer‐Ruff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriela Obexer‐Ruff. 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 Gabriela Obexer‐Ruff. The network helps show where Gabriela Obexer‐Ruff may publish in the future.

Co-authorship network of co-authors of Gabriela Obexer‐Ruff

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Obexer‐Ruff. A scholar is included among the top collaborators of Gabriela Obexer‐Ruff 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 Gabriela Obexer‐Ruff. Gabriela Obexer‐Ruff 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
#WorkIndexed citations
1 33
2 10
3 10
4 18
5 70
6 22
7 63
8 20
9 169
10 20
11 15
12 9
13 48
14 16
15 199
16 8
17 147
18 2
19 4
20 2

About Gabriela Obexer‐Ruff

Gabriela Obexer‐Ruff is a scholar working on Virology, Immunology and Genetics, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (16 papers), Genetic diversity and population structure (10 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Genetics (726 citations), Agronomy and Crop Science (148 citations) and Virology (60 citations). Gabriela Obexer‐Ruff has collaborated with scholars based in Switzerland, Spain and Italy. Frequent co-authors include Charlotte Gaillard, G. Dolf, S. Dunner, Paolo Ajmone‐Marsan, Johannes A. Lenstra, Javier Cañón, Christine Breitenmoser‐Würsten, D. García, Gordon Luikart and Pierre Taberlet. Their work appears in journals such as PLoS ONE, Annals of the New York Academy of Sciences and Molecular Ecology.

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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