Ariel Many

5.6k citations
124 papers · 3.9k indexed · 1 hit paper · h-index 25

Ariel Many

120 papers receiving 3.8k citations

Hit Papers

Dependence of Human Stem Cell Engraftment and Repopulatio...1.4k19992026200820174008001.2k

Peers

Ariel Many
Comparison fields: 5 of 132
  • Obstetrics and Gynecology 1.5k
  • Hematology 815
  • Pediatrics, Perinatology and Child Health 1.1k
  • Immunology 981
  • Genetics 383
Replace P. Marès with:
P. Marès France
Frank Louwen Germany
Gad Barkai Israel
Maurizio Clementi Italy
Antonio De Vivo Italy
Bettina Tóth Germany
Zeev Blumenfeld Israel
Sorina Grisaru‐Granovsky Israel
Ahmet Gül Türkiye
David M. Sherer United States
Ariel Many relative to P. Marès France P. Marès's profile →
Citations per field
00.5×3.3×
P. Marès · 1×
Citations per year

Countries citing papers authored by Ariel Many

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Many

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20230
3 20231
4 20231
5 20220
6 20211
7 20202
8 20196
9 20181
10 20182
11 201713
12 201720
13 20176
14 20106
15 200847
16 200786
17 200618
18 2006270
19 19981
20 199733

About Ariel Many

Ariel Many is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Hematology, Nephrology and Reproductive Medicine, having authored 124 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (29 papers), Maternal and Perinatal Health Interventions (19 papers), Maternal and fetal healthcare (18 papers), Assisted Reproductive Technology and Twin Pregnancy (13 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers), Gestational Diabetes Research and Management (9 papers), Birth, Development, and Health (7 papers) and Neonatal Respiratory Health Research (7 papers). The work is most often cited by research in Obstetrics and Gynecology (1.5k citations), Hematology (815 citations), Pediatrics, Perinatology and Child Health (1.1k citations), Immunology (981 citations) and Genetics (383 citations). Ariel Many has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include James M. Roberts, Dov Zipori, Amnon Peled, Arnon Nagler, Tsvee Lapidot, Órit Kollet, Herzl Ben‐Hur, Leonard D. Shultz, Isabelle Petit and Ofer Lider. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, American Journal of Obstetrics and Gynecology, Journal of Perinatal Medicine, Obstetrics and Gynecology and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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