Michael E. Fant

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

Impact in

Papers in

Michael E. Fant

42 papers receiving 1.2k citations

Peers

Michael E. Fant
Comparison fields: 5 of 85
  • Obstetrics and Gynecology 366
  • Pediatrics, Perinatology and Child Health 320
  • Endocrinology, Diabetes and Metabolism 195
  • Immunology 187
  • Cancer Research 99
Replace R. Rebourcet with:
R. Rebourcet France
E. Alsat France
Francisco Miralles France
Santanu Deb United States
Christa Hegele‐Hartung Germany
F. Mondon France
Geetu Tuteja United States
Mary O. Carayannopoulos United States
Nabil Moghrabi United States
Guillaume Pidoux France
Michael E. Fant relative to R. Rebourcet France R. Rebourcet's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199678
2 199671
3 199870
4 201267
5 199364
6 198357
7 200851
8 199251
9 199750
10 200248
11 201346
12 197944
13 201043
14 200641
15 200541
16 200841
17 200141
18 200129
19 198127
20 199626

About Michael E. Fant

Michael E. Fant is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine and Genetics, 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 (12 papers), Pregnancy and preeclampsia studies (10 papers), Genetic Syndromes and Imprinting (8 papers), Neonatal Respiratory Health Research (7 papers), Kruppel-like factors research (6 papers), Renal and related cancers (4 papers), Reproductive System and Pregnancy (4 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). The work is most often cited by research in Obstetrics and Gynecology (366 citations), Pediatrics, Perinatology and Child Health (320 citations), Endocrinology, Diabetes and Metabolism (195 citations), Immunology (187 citations) and Cancer Research (99 citations). Michael E. Fant has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Xiaoyuan Kong, Raymond D. Harbison, L Nanu, Robert W. Harrison, Hamish N. Munro, Peter Rotwein, Claire E. Stewart, Daniel E. Geraghty, Robert C. Baxter and John C. Pezzullo. Their work appears in journals such as Placenta, The Journal of Clinical Endocrinology & Metabolism, Growth Hormone & IGF Research, Regulatory Peptides and Pediatric Research.

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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