Iva Veseli

1.6k citations
13 papers · 858 · 1 hit paper · h-index 7

Impact in

  • Ecology top 5%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions
    • Methane Hydrates and Related Phenomena

Papers in

Iva Veseli

13 papers receiving 854 citations

Iva Veseli's Hit Papers

Community-led, integrated, reproducible multi-omics with anvi’o 2020 · 633 citations
6330+2+4Years since publication200400600

Peers

Iva Veseli
Comparison fields: 5 of 96
  • Ecology 367
  • Environmental Chemistry 85
  • Oceanography 89
  • Molecular Biology 394
  • Endocrinology 29
Replace Matthew S. Schechter with:
Matthew S. Schechter United States
Jessika Fuessel United States
Emily C. Fogarty United States
Quentin Clayssen United States
Ryan M. Moore United States
Florian Trigodet United States
Veronika Kivenson United States
Sarah L. R. Stevens United States
Samuel E. Miller United States
Mahmoud Yousef United States
Iva Veseli relative to Matthew S. Schechter United States Matthew S. Schechter's profile →
Citations per field
00.5×1.5×
Matthew S. Schechter · 1×
Citations per year

Countries citing papers authored by Iva Veseli

Since Specialization
Citations

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

Fields of papers citing papers by Iva Veseli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Community-led, integrated, reproducible multi-omics with anvi’o
Hit paper breakdown →
2020633
2 202172
3 202355
4 202433
5 202225
6 201910
7 20237
8 20245
9 20255
10 20254
11 20234
12 20183
13 20172

About Iva Veseli

Iva Veseli is a scholar working on Oceanography, Microbiology, Infectious Diseases, Ecology and Cell Biology, having authored 13 papers that have together received 858 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Microbial infections and disease research (2 papers), Microbial Community Ecology and Physiology (2 papers), Probiotics and Fermented Foods (2 papers), Marine and coastal plant biology (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Diet and metabolism studies (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Ecology (367 citations), Environmental Chemistry (85 citations), Oceanography (89 citations), Molecular Biology (394 citations) and Endocrinology (29 citations). Iva Veseli has collaborated with scholars based in United States, Germany and France. Frequent co-authors include A. Murat Eren, Emily C. Fogarty, Rachel Ann Foster, Eric D. Pelletier, Jessika Fuessel, Juan José Pierella Karlusich, Chris Bowler, Tom O. Delmont, Patrick Wincker and Karen Lolans. Their work appears in journals such as The ISME Journal, Cell, Scientific Reports, mSystems and Journal of Crohn s and Colitis.

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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