Foad Azem

3.7k citations
139 papers · 2.6k · h-index 28

Impact in

Papers in

Foad Azem

130 papers receiving 2.4k citations

Peers

Foad Azem
Comparison fields: 5 of 97
  • Reproductive Medicine 1.1k
  • Obstetrics and Gynecology 258
  • Public Health, Environmental and Occupational Health 799
  • Pediatrics, Perinatology and Child Health 452
  • Immunology 202
Replace Leila Unkila‐Kallio with:
Leila Unkila‐Kallio Finland
Donald Maier United States
Raphaël Ron-El Israel
Maija Tulppala Finland
V. Insler Israel
Alan S. Penzias United States
David M. Serr Israel
Richard H. Reindollar United States
E. Scott Sills United States
Peter Brinsden United Kingdom
Foad Azem relative to Leila Unkila‐Kallio Finland Leila Unkila‐Kallio's profile →
Citations per field
00.5×2.5×
Leila Unkila‐Kallio · 1×
Citations per year

Countries citing papers authored by Foad Azem

Since Specialization
Citations

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

Fields of papers citing papers by Foad Azem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008152
2 2017115
3 2010101
4 199590
5 199986
6 200082
7 201269
8 201166
9 201062
10 199657
11 200949
12 200947
13 200645
14 201243
15 201041
16 199740
17 201840
18 200939
19 202039
20 200938

About Foad Azem

Foad Azem is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Molecular Biology and Obstetrics and Gynecology, having authored 139 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (38 papers), Ovarian function and disorders (23 papers), Reproductive Health and Technologies (16 papers), Assisted Reproductive Technology and Twin Pregnancy (15 papers), Prenatal Screening and Diagnostics (13 papers), Ovarian cancer diagnosis and treatment (7 papers), Sperm and Testicular Function (6 papers) and Ectopic Pregnancy Diagnosis and Management (5 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Obstetrics and Gynecology (258 citations), Public Health, Environmental and Occupational Health (799 citations), Pediatrics, Perinatology and Child Health (452 citations) and Immunology (202 citations). Foad Azem has collaborated with scholars based in Israel, United States and Saudi Arabia. Frequent co-authors include Joseph B. Lessing, Ami Amit, Israel Yovel, Ami Amit, Dalit Ben‐Yosef, Joseph Hasson, Eli Geva, Liat Lerner‐Geva, Mira Malcov and Yuval Yaron. Their work appears in journals such as Fertility and Sterility, Human Reproduction, Reproductive BioMedicine Online, Journal of Assisted Reproduction and Genetics and Reproductive Sciences.

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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