John F. Nahabedian

3.9k total citations · 1 hit paper
6 papers, 743 citations indexed

About

John F. Nahabedian is a scholar working on Obstetrics and Gynecology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John F. Nahabedian has authored 6 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Obstetrics and Gynecology, 2 papers in Molecular Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John F. Nahabedian's work include COVID-19 Impact on Reproduction (3 papers), Muscle Physiology and Disorders (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). John F. Nahabedian is often cited by papers focused on COVID-19 Impact on Reproduction (3 papers), Muscle Physiology and Disorders (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). John F. Nahabedian collaborates with scholars based in United States, France and Japan. John F. Nahabedian's co-authors include Kayla N. Anderson, Van T. Tong, Laura D. Zambrano, Penelope Strid, Suzanne M. Gilboa, Kate R. Woodworth, Sascha Ellington, Romeo R. Galang, Hang Lu and Jeffrey N. Stirman and has published in prestigious journals such as Journal of Molecular Biology, Virology and Vaccine.

In The Last Decade

John F. Nahabedian

6 papers receiving 718 citations

Hit Papers

Characteristics of Women of Reproductive Age with Laborat... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John F. Nahabedian United States 5 633 329 274 87 86 6 743
Christina A. Penfield United States 8 449 0.7× 208 0.6× 188 0.7× 28 0.3× 64 0.7× 31 503
Michal Youngster Israel 11 307 0.5× 154 0.5× 147 0.5× 99 1.1× 72 0.8× 34 509
Helena Blakeway United Kingdom 5 404 0.6× 191 0.6× 145 0.5× 176 2.0× 129 1.5× 6 471
Qingling Kang China 8 604 1.0× 273 0.8× 265 1.0× 15 0.2× 59 0.7× 10 715
Suhua Chen China 5 521 0.8× 234 0.7× 221 0.8× 15 0.2× 34 0.4× 9 617
Sicong Peng China 7 847 1.3× 354 1.1× 268 1.0× 23 0.3× 46 0.5× 17 1.0k
Yaakov Segal Israel 7 288 0.5× 166 0.5× 96 0.4× 103 1.2× 130 1.5× 7 366
Maria C. Alzamora United States 4 410 0.6× 219 0.7× 131 0.5× 7 0.1× 32 0.4× 10 468
Jill Diesel United States 9 179 0.3× 96 0.3× 115 0.4× 89 1.0× 21 0.2× 13 406
Arianna G. Cassidy United States 8 189 0.3× 98 0.3× 73 0.3× 52 0.6× 52 0.6× 23 278

Countries citing papers authored by John F. Nahabedian

Since Specialization
Citations

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

Fields of papers citing papers by John F. Nahabedian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Nahabedian. 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 John F. Nahabedian. The network helps show where John F. Nahabedian may publish in the future.

Co-authorship network of co-authors of John F. Nahabedian

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Nahabedian. A scholar is included among the top collaborators of John F. Nahabedian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John F. Nahabedian. John F. Nahabedian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Sharma, Andrea J., et al.. (2023). CDC COVID-19 Vaccine Pregnancy Registry: Design, data collection, response rates, and cohort description. Vaccine. 42(7). 1469–1477. 4 indexed citations
2.
Ellington, Sascha, Penelope Strid, Van T. Tong, et al.. (2020). Characteristics of Women of Reproductive Age With Laboratory-Confirmed SARS-CoV-2 Infection by Pregnancy Status—United States, January 22–June 7, 2020. Obstetrical & Gynecological Survey. 75(11). 664–666. 22 indexed citations
3.
Ellington, Sascha, Penelope Strid, Van T. Tong, et al.. (2020). Characteristics of Women of Reproductive Age with Laboratory-Confirmed SARS-CoV-2 Infection by Pregnancy Status — United States, January 22–June 7, 2020. MMWR Morbidity and Mortality Weekly Report. 69(25). 769–775. 672 indexed citations breakdown →
4.
Nahabedian, John F., et al.. (2017). Owl monkey CCR5 reveals synergism between CD4 and CCR5 in HIV-1 entry. Virology. 512. 180–186. 7 indexed citations
5.
Nahabedian, John F., Hiroshi Qadota, Jeffrey N. Stirman, Hang Lu, & Guy M. Benian. (2011). Bending amplitude – A new quantitative assay of C. elegans locomotion: Identification of phenotypes for mutants in genes encoding muscle focal adhesion components. Methods. 56(1). 95–102. 30 indexed citations
6.
Qadota, Hiroshi, Takayuki Miyauchi, John F. Nahabedian, et al.. (2011). PKN-1, a Homologue of Mammalian PKN, Is Involved in the Regulation of Muscle Contraction and Force Transmission in C. elegans. Journal of Molecular Biology. 407(2). 222–231. 8 indexed citations

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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