F K Chapler

737 citations
11 papers · 543 · h-index 8

Impact in

Papers in

    • Pituitary Gland Disorders and Treatments 4
    • Growth Hormone and Insulin-like Growth Factors 3
    • Hormonal and reproductive studies 1
    • Anesthesia and Pain Management 2
    • Adrenal and Paraganglionic Tumors 2

F K Chapler

10 papers receiving 453 citations

Peers

F K Chapler
Comparison fields: 5 of 54
  • Endocrinology, Diabetes and Metabolism 339
  • Reproductive Medicine 122
  • Surgery 157
  • Obstetrics and Gynecology 18
  • Pediatrics, Perinatology and Child Health 44
Replace S. Nader with:
S. Nader United States
Eduardo Chaler Argentina
Maria Alexandra Magiakou Greece
P. Martul Spain
M. J. THOMSETT Australia
L Benso Italy
Mercedes Maceiras Argentina
Philippe Chanson France
Daisy Chin United States
B. Rikken Netherlands
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Citations per field
00.5×
S. Nader · 1×
Citations per year

Countries citing papers authored by F K Chapler

Since Specialization
Citations

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

Fields of papers citing papers by F K Chapler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside F K Chapler, 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 F K Chapler Line = papers co-authored together F K Chapler links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1989193
2 197883
3 199769
4 198662
5
Hyperprolactinemia and contraception: a prospective study.
198541
6 196838
7
Primary hypothyroidism associated with multicystic ovaries and ovarian torsion in an adult.
199434
8 199820
9 19701
10 19891
11 19681

About F K Chapler

F K Chapler is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Rehabilitation, having authored 11 papers that have together received 543 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Anesthesia and Pain Management (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Neuroscience of respiration and sleep (1 paper), Hormonal and reproductive studies (1 paper), Reproductive Health and Contraception (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (339 citations), Reproductive Medicine (122 citations), Surgery (157 citations), Obstetrics and Gynecology (18 citations) and Pediatrics, Perinatology and Child Health (44 citations). F K Chapler has collaborated with scholars based in United States. Frequent co-authors include Janet Schlechte, Kenneth D. Dolan, Anthony A. Luciano, John C. VanGilder, Barry M. Sherman, Craig H. Syrop, Bradley J. Van Voorhis, Dale W. Stovall, Amy E. Sparks and Brian D. Allen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility, Obstetrical & Gynecological Survey, The Lancet and Anesthesiology.

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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