Sam Mesiano

8.4k citations
113 papers · 6.4k indexed · 1 hit paper · h-index 44

Impact in

Papers in

Sam Mesiano

112 papers receiving 6.2k citations

Hit Papers

Developmental and Functional Biology of the Primate Fetal Adrenal Cortex* 1997 · 502 citations
5021997202620062016100200300400500

Peers

Sam Mesiano
Comparison fields: 5 of 130
  • Obstetrics and Gynecology 1.2k
  • Reproductive Medicine 1.0k
  • Behavioral Neuroscience 333
  • Immunology 1.9k
  • Endocrinology, Diabetes and Metabolism 1.0k
Replace Antonis Makrigiannakis with:
Antonis Makrigiannakis Greece
Stuart Handwerger United States
Michael J. Soares United States
Nadia Alfaidy France
Victor K. M. Han Canada
Chandra Yallampalli United States
R. Ann Word United States
Mats Brännström Sweden
P. Bischof Switzerland
Kathleen M. Caron United States
Sam Mesiano relative to Antonis Makrigiannakis Greece Antonis Makrigiannakis's profile →
Citations per field
00.5×1.5×1.8×
Antonis Makrigiannakis · 1×
Citations per year

Countries citing papers authored by Sam Mesiano

Since Specialization
Citations

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

Fields of papers citing papers by Sam Mesiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20239
3 202213
4 20224
5 202139
6 202110
7 201937
8 201811
9 201822
10 201548
11 201517
12 201149
13 20079
14 200537
15 200514
16 2002116
17 2002311
18 1998326
19 199790
20 199647

About Sam Mesiano

Sam Mesiano is a scholar working on Immunology, Reproductive Medicine, Obstetrics and Gynecology, Epidemiology and Behavioral Neuroscience, having authored 113 papers that have together received 6.4k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (51 papers), Preterm Birth and Chorioamnionitis (49 papers), Pregnancy-related medical research (21 papers), Birth, Development, and Health (16 papers), Endometriosis Research and Treatment (15 papers), Estrogen and related hormone effects (15 papers), Neonatal Respiratory Health Research (13 papers) and Growth Hormone and Insulin-like Growth Factors (10 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Reproductive Medicine (1.0k citations), Behavioral Neuroscience (333 citations), Immunology (1.9k citations) and Endocrinology, Diabetes and Metabolism (1.0k citations). Sam Mesiano has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Robert B. Jaffe, Roger Smith, Toni Welsh, Eng-Cheng Chan, Huiqing Tan, Robert N. Taylor, Ramkumar Menon, Lijuan Yi, R B Jaffe and Tamás Zakár. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Reproductive Sciences, American Journal of Obstetrics and Gynecology, Endocrinology and Biology of Reproduction.

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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