Tomas Edgren

637 citations
19 papers · 474 · h-index 11

Impact in

Papers in

    • Bacillus and Francisella bacterial research 7
    • Protist diversity and phylogeny 2
    • Photosynthetic Processes and Mechanisms 2
    • Yersinia bacterium, plague, ectoparasites research 12

Tomas Edgren

18 papers receiving 463 citations

Peers

Tomas Edgren
Comparison fields: 5 of 69
  • Endocrinology 164
  • Molecular Medicine 47
  • Genetics 223
  • Parasitology 31
  • Pharmacology 27
Replace Yunhong Song with:
Yunhong Song China
Peter G. Agron United States
Larry L. Daniels United States
Stanislav Forman United States
Vidya C. Darbari United Kingdom
Timothy Tapscott United States
Jonathan W. Willett United States
Everardo Curiel‐Quesada Mexico
Jean Marc Ghigo France
Humberto de la Vega Mexico
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Citations per field
00.5×5.2×
Yunhong Song · 1×
Citations per year

Countries citing papers authored by Tomas Edgren

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Edgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200493
2 201191
3 201663
4 201142
5 201238
6 201637
7 200622
8 201619
9 200518
10 201217
11 202114
12 20166
13 20186
14 20114
15 20191
16 20051
17 20251
18 20231
19 20240

About Tomas Edgren

Tomas Edgren is a scholar working on Molecular Biology, Genetics, Endocrinology, Environmental Engineering and Renewable Energy, Sustainability and the Environment, having authored 19 papers that have together received 474 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (12 papers), Vibrio bacteria research studies (9 papers), Bacillus and Francisella bacterial research (7 papers), Metalloenzymes and iron-sulfur proteins (3 papers), Microbial Fuel Cells and Bioremediation (3 papers), Ammonia Synthesis and Nitrogen Reduction (2 papers), Protist diversity and phylogeny (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Endocrinology (164 citations), Molecular Medicine (47 citations), Genetics (223 citations), Parasitology (31 citations) and Pharmacology (27 citations). Tomas Edgren has collaborated with scholars based in Sweden, Germany and Iran. Frequent co-authors include Stefan Nordlund, Hans Wolf‐Watz, Maria Fällman, Anna Fahlgren, Roland Rosqvist, Karen Akopyan, Åke Försberg, Saskia F. Erttmann, Matthew S. Francis and He Wang. Their work appears in journals such as Infection and Immunity, Microbiology, Communications Biology, Journal of Bacteriology and Cellular Microbiology.

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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