Diego Hojsgaard

2k citations
56 papers · 1.5k · h-index 22

Impact in

Papers in

Diego Hojsgaard

54 papers receiving 1.5k citations

Peers

Diego Hojsgaard
Comparison fields: 5 of 50
  • Ecology, Evolution, Behavior and Systematics 840
  • Plant Science 1.1k
  • Ecological Modeling 31
  • Molecular Biology 544
  • Genetics 234
Replace Isabel Larridon with:
Isabel Larridon United Kingdom
Kurt M. Neubig United States
Leslie R. Goertzen United States
Roswitha Schmickl Czechia
Yingjuan Su China
Christiane Kiefer Germany
Mercedes Ames Sevillano United States
Xinshuai Qi United States
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Citations per field
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Citations per year

Countries citing papers authored by Diego Hojsgaard

Since Specialization
Citations

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

Fields of papers citing papers by Diego Hojsgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014170
2 2019143
3 2013125
4 201378
5 201277
6 201477
7 201272
8 201570
9 200855
10 201655
11 201854
12 201546
13 201444
14 201836
15 200834
16 201130
17 201527
18 201927
19 202027
20 202026

About Diego Hojsgaard

Diego Hojsgaard is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Genetics, Molecular Biology and Ecological Modeling, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (45 papers), Plant Taxonomy and Phylogenetics (32 papers), Plant Reproductive Biology (14 papers), Genetic diversity and population structure (4 papers), Evolution and Genetic Dynamics (4 papers), Plant Diversity and Evolution (3 papers), Plant Molecular Biology Research (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (840 citations), Plant Science (1.1k citations), Ecological Modeling (31 citations), Molecular Biology (544 citations) and Genetics (234 citations). Diego Hojsgaard has collaborated with scholars based in Germany, Argentina and United States. Frequent co-authors include Elvira Hörandl, Eric Javier Martínez, Camilo Luis Quarin, Simone Klatt, John G. Carman, Timothy F. Sharbel, Ana Isabel Honfi, Marco Pellino, Carlos A. Acuña and Ladislav Hodač. Their work appears in journals such as Genes, Critical Reviews in Plant Sciences, Frontiers in Plant Science, Taxon and Annals of Botany.

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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