Michael E. Fant

1.4k citations
42 papers · 1.2k indexed · h-index 23

Impact in

Papers in

Michael E. Fant

42 papers receiving 1.2k citations

Peers

Michael E. Fant
Comparison fields: 5 of 84
  • Obstetrics and Gynecology 378
  • Pediatrics, Perinatology and Child Health 367
  • Endocrinology, Diabetes and Metabolism 203
  • Immunology 201
  • Molecular Biology 504
Replace R. Rebourcet with:
R. Rebourcet France
E. Alsat France
Francisco Miralles France
Mary O. Carayannopoulos United States
Norio Takamoto Japan
Nabil Moghrabi United States
Santanu Deb United States
Guillaume Pidoux France
F. Mondon France
Geetu Tuteja United States
Michael E. Fant relative to R. Rebourcet France R. Rebourcet's profile →
Citations per field
00.5×1.5×2.1×
R. Rebourcet · 1×
Citations per year

Countries citing papers authored by Michael E. Fant

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Fant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Fant. 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 Michael E. Fant. The network helps show where Michael E. Fant may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201414
2 201346
3 201265
4 200840
5 200640
6 200623
7 200624
8 200540
9 200323
10 200247
11 200126
12 19995
13 199746
14 199626
15 199613
16 199674
17 199518
18 199361
19 19907
20 19888

About Michael E. Fant

Michael E. Fant is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Genetics and Clinical Biochemistry, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Pregnancy and preeclampsia studies (11 papers), Genetic Syndromes and Imprinting (9 papers), Neonatal Respiratory Health Research (7 papers), Kruppel-like factors research (6 papers), Renal and related cancers (5 papers), Prenatal Screening and Diagnostics (5 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Obstetrics and Gynecology (378 citations), Pediatrics, Perinatology and Child Health (367 citations), Endocrinology, Diabetes and Metabolism (203 citations), Immunology (201 citations) and Molecular Biology (504 citations). Michael E. Fant has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Xiaoyuan Kong, Raymond D. Harbison, L Nanu, Robert W. Harrison, Claire E. Stewart, Peter Rotwein, Hamish N. Munro, Fernando Moya, John C. Pezzullo and David Schlessinger. Their work appears in journals such as Placenta, Journal of Cellular Physiology, Regulatory Peptides, Growth Hormone & IGF Research and The Journal of Clinical Endocrinology & Metabolism.

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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