Jan Gerris

4.8k citations
94 papers · 3.2k · h-index 32

Impact in

Papers in

Jan Gerris

94 papers receiving 3.1k citations

Peers

Jan Gerris
Comparison fields: 5 of 102
  • Reproductive Medicine 1.4k
  • Pediatrics, Perinatology and Child Health 1.1k
  • Public Health, Environmental and Occupational Health 1.3k
  • Obstetrics and Gynecology 110
  • Social Psychology 214
Replace Pedro N. Barri with:
Pedro N. Barri Spain
Hans Jakob Ingerslev Denmark
James P. Toner United States
John Leeton Australia
Lynn M. Westphal United States
Arthur Leader Canada
Richard P. Marrs United States
Rénato Fanchin France
Foad Azem Israel
Florence P. Haseltine United States
Jan Gerris relative to Pedro N. Barri Spain Pedro N. Barri's profile →
Citations per field
00.5×3.6×
Pedro N. Barri · 1×
Citations per year

Countries citing papers authored by Jan Gerris

Since Specialization
Citations

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

Fields of papers citing papers by Jan Gerris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010245
2 2009235
3 2008148
4 2005133
5 2004130
6 2004122
7 2008119
8 1993103
9 200098
10 200290
11 201278
12 200778
13 199562
14 200662
15 200860
16 200658
17 200652
18 200746
19 200545
20 200942

About Jan Gerris

Jan Gerris is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Obstetrics and Gynecology, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (30 papers), Assisted Reproductive Technology and Twin Pregnancy (26 papers), Ovarian function and disorders (25 papers), Reproductive Health and Technologies (13 papers), Sperm and Testicular Function (9 papers), Ectopic Pregnancy Diagnosis and Management (9 papers), Prenatal Screening and Diagnostics (9 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Reproductive Medicine (1.4k citations), Pediatrics, Perinatology and Child Health (1.1k citations), Public Health, Environmental and Occupational Health (1.3k citations), Obstetrics and Gynecology (110 citations) and Social Psychology (214 citations). Jan Gerris has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Petra De Sutter, Marc Dhont, E. Van Royen, Björn Heindryckx, Diane De Neubourg, Josiane Van Der Elst, Hans Verstraelen, Steven Weyers, Stefanie De Gheselle and Guy T’Sjoen. Their work appears in journals such as Human Reproduction, Reproductive BioMedicine Online, Fertility and Sterility, European Journal of Obstetrics & Gynecology and Reproductive Biology and Mitochondrion.

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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