Vegard Eldholm

4.0k citations
51 papers · 2.5k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Vegard Eldholm

50 papers receiving 2.5k citations

Hit Papers

Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary 2016 · 452 citations
4522016202620192022100200300400

Peers

Vegard Eldholm
Comparison fields: 5 of 106
  • Molecular Medicine 308
  • Infectious Diseases 1.1k
  • Microbiology 305
  • Endocrinology 218
  • Epidemiology 1.0k
Replace Luís Tavares with:
Luís Tavares Portugal
Ronald J. Limberger United States
Huaiqi Jing China
Jenni Antikainen Finland
Bradley L. Allen United States
Ghislaine Guigon France
Ruth C. Massey United Kingdom
Sven Poppert Germany
Hilde E. Smith Netherlands
Miriam Moscoso Spain
Vegard Eldholm relative to Luís Tavares Portugal Luís Tavares's profile →
Citations per field
00.5×1.5×2.1×
Luís Tavares · 1×
Citations per year

Countries citing papers authored by Vegard Eldholm

Since Specialization
Citations

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

Fields of papers citing papers by Vegard Eldholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20245
3 20218
4 20216
5 202113
6 202112
7 202135
8 202012
9 201962
10 20194
11 201813
12 201832
13 201817
14 2018114
15 201750
16 201654
17 201654
18
Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary
Hit paper breakdown →
2016452
19 200787
20 2007261

About Vegard Eldholm

Vegard Eldholm is a scholar working on Molecular Medicine, Infectious Diseases, Microbiology, Endocrinology and Epidemiology, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (20 papers), Mycobacterium research and diagnosis (20 papers), Antibiotic Resistance in Bacteria (8 papers), Bacterial Infections and Vaccines (8 papers), Pneumonia and Respiratory Infections (7 papers), Genomics and Phylogenetic Studies (5 papers), Infectious Diseases and Tuberculosis (5 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Molecular Medicine (308 citations), Infectious Diseases (1.1k citations), Microbiology (305 citations), Endocrinology (218 citations) and Epidemiology (1.0k citations). Vegard Eldholm has collaborated with scholars based in Norway, United Kingdom and United States. Frequent co-authors include Ola Brynildsrud, Jon Bohlin, Leiv Sigve Håvarstein, Ola Johnsborg, Lonneke Scheffer, François Balloux, John H.‐O. Pettersson, Ulf R. Dahle, Turid Mannsåker and Viviana Ritacco. Their work appears in journals such as Microbial Genomics, Proceedings of the National Academy of Sciences, Genome Medicine, Genome biology and Molecular 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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