J. Gebhardt

701 citations
25 papers · 518 · h-index 9

Impact in

Papers in

J. Gebhardt

24 papers receiving 481 citations

Peers

J. Gebhardt
Comparison fields: 5 of 36
  • Reproductive Medicine 153
  • Public Health, Environmental and Occupational Health 362
  • Pediatrics, Perinatology and Child Health 118
  • Hematology 20
  • Molecular Biology 99
Replace Denny Sakkas with:
Denny Sakkas United States
Y Shiina Japan
B. Vanabelle Belgium
Victoria Ibéchéole Switzerland
Juan Carlos Martı́nez-Chéquer Mexico
Moncef Benkhalifa France
Alvin S.T. Lim Singapore
Judy F.C. Chow Hong Kong
Masaya Yamanaka Japan
Keli Luo China
J. Gebhardt relative to Denny Sakkas United States Denny Sakkas's profile →
Citations per field
00.5×3.8×
Denny Sakkas · 1×
Citations per year

Countries citing papers authored by J. Gebhardt

Since Specialization
Citations

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

Fields of papers citing papers by J. Gebhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007102
2 200287
3 199976
4 200258
5 200850
6 198245
7 200643
8 199316
9
Normal pregnancy resulting from a non-pronuclear oocyte at the time of examination for fertilization.
200810
10 20027
11 19934
12 20123
13 20003
14 20112
15 20012
16 20082
17 20061
18 20011
19 20031
20 20111

About J. Gebhardt

J. Gebhardt is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics, having authored 25 papers that have together received 518 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (19 papers), Reproductive Health and Technologies (8 papers), Assisted Reproductive Technology and Twin Pregnancy (6 papers), Ovarian function and disorders (5 papers), Sperm and Testicular Function (4 papers), Animal Genetics and Reproduction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Reproductive Medicine (153 citations), Public Health, Environmental and Occupational Health (362 citations), Pediatrics, Perinatology and Child Health (118 citations), Hematology (20 citations) and Molecular Biology (99 citations). J. Gebhardt has collaborated with scholars based in United States. Frequent co-authors include Barry Behr, Amin A. Milki, J. Watt, Yimin Shu, Lynn M. Westphal, Barry Behr, Thomas B. Pool, Donald E. Moore, Mary D Hinckley and Jim Schröder. Their work appears in journals such as Fertility and Sterility, Human Reproduction, Proceedings of the National Academy of Sciences, Reproductive BioMedicine Online and PubMed.

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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