Foad Azem

3.7k citations
136 papers · 2.4k · h-index 28

Impact in

Papers in

Foad Azem

130 papers receiving 2.3k citations

Peers

Foad Azem
Comparison fields: 5 of 93
  • Reproductive Medicine 1.0k
  • Obstetrics and Gynecology 237
  • Public Health, Environmental and Occupational Health 749
  • Pediatrics, Perinatology and Child Health 396
  • Immunology 192
Replace Leila Unkila‐Kallio with:
Leila Unkila‐Kallio Finland
Donald Maier United States
Maija Tulppala Finland
Raphaël Ron-El Israel
V. Insler Israel
Richard H. Reindollar United States
Alan S. Penzias United States
E. Scott Sills United States
David M. Serr Israel
Peter Brinsden United Kingdom
Foad Azem relative to Leila Unkila‐Kallio Finland Leila Unkila‐Kallio's profile →
Citations per field
00.5×1.5×2.5×
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 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 2017110
3 201094
4 199588
5 199982
6 200073
7 201267
8 201163
9 201059
10 199656
11 200946
12 201242
13 200642
14 201041
15 200938
16 202038
17 201837
18 201136
19 200935
20 199634

About Foad Azem

Foad Azem is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Molecular Biology, having authored 136 papers that have together received 2.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (36 papers), Ovarian function and disorders (23 papers), Assisted Reproductive Technology and Twin Pregnancy (14 papers), Reproductive Health and Technologies (14 papers), Prenatal Screening and Diagnostics (12 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 (1.0k citations), Obstetrics and Gynecology (237 citations), Public Health, Environmental and Occupational Health (749 citations), Pediatrics, Perinatology and Child Health (396 citations) and Immunology (192 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, Liat Lerner‐Geva, Eli Geva, Hadar Amir and Mira Malcov. Their work appears in journals such as Fertility and Sterility, Reproductive BioMedicine Online, Human Reproduction, Journal of Assisted Reproduction and Genetics and American Journal of Reproductive Immunology.

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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