Jill Long

765 citations
15 papers · 426 · h-index 9

Impact in

Papers in

Jill Long

15 papers receiving 408 citations

Peers

Jill Long
Comparison fields: 5 of 72
  • Microbiology 110
  • Public Health, Environmental and Occupational Health 141
  • Reproductive Medicine 41
  • Endocrinology, Diabetes and Metabolism 71
  • Obstetrics and Gynecology 24
Replace Masahiro Yasuda with:
Masahiro Yasuda Japan
Kaisa Elomaa Finland
W. Frobenius Germany
Clint Dart United States
Ana Paula Ferreira Costa Brazil
T. M. T. Mulders Netherlands
Maria V. Gibson United States
Maria Malm Poland
Jenny Jaque United States
Shailendra Kapoor United States
Jill Long relative to Masahiro Yasuda Japan Masahiro Yasuda's profile →
Citations per field
00.5×2×4×5.9×
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Citations per year

Countries citing papers authored by Jill Long

Since Specialization
Citations

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

Fields of papers citing papers by Jill Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018156
2 201480
3 202143
4 201934
5 202031
6 201816
7 200612
8 201611
9 20219
10 20208
11 20218
12 20208
13 20215
14 20204
15 20171

About Jill Long

Jill Long is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 426 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (6 papers), Reproductive Health and Contraception (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Academic Publishing and Open Access (1 paper), Nerve injury and regeneration (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Microbiology (110 citations), Public Health, Environmental and Occupational Health (141 citations), Reproductive Medicine (41 citations), Endocrinology, Diabetes and Metabolism (71 citations) and Obstetrics and Gynecology (24 citations). Jill Long has collaborated with scholars based in United States, Hungary and Pakistan. Frequent co-authors include Diana Blithe, Min S. Lee, Edward W. Hook, Michael R. Wierzbicki, Stephanie N. Taylor, John P. Mueller, Byron E. Batteiger, Arlene C. Seña, Jeanne Marrazzo and Kenneth Lawrence. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Andrology, Contraception, Clinical Chemistry and Clinical Infectious Diseases.

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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