Frank S. Bonelli

511 citations
7 papers · 396 · h-index 6

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 3
    • Adrenal and Paraganglionic Tumors 1
    • Receptor Mechanisms and Signaling 2
    • Protein Kinase Regulation and GTPase Signaling 1

Frank S. Bonelli

7 papers receiving 369 citations

Peers

Frank S. Bonelli
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 173
  • Pulmonary and Respiratory Medicine 150
  • Surgery 147
  • Biochemistry 7
  • Clinical Biochemistry 5
Replace Brigitte Yip with:
Brigitte Yip United Kingdom
Yasuhiro Endoh Japan
Takashi Hitsumoto Japan
Stephen Wagner United States
Masafumi Tatsukawa Japan
Phillip Simmons United States
Aaron Y. Kluger United States
Aleksandra Novikov United States
S. Crowe Germany
Maria Crespo‐Masip United States
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Citations per field
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Citations per year

Countries citing papers authored by Frank S. Bonelli

Since Specialization
Citations

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

Fields of papers citing papers by Frank S. Bonelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank S. Bonelli. 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 Frank S. Bonelli. The network helps show where Frank S. Bonelli may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1995155
2
Adrenocorticotropic hormone-dependent Cushing's syndrome: sensitivity and specificity of inferior petrosal sinus sampling.
2000103
3 198947
4
Venous subarachnoid hemorrhage after inferior petrosal sinus sampling for adrenocorticotropic hormone.
199945
5 200430
6 199314
7 19872

About Frank S. Bonelli

Frank S. Bonelli is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 7 papers that have together received 396 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Cholesterol and Lipid Metabolism (3 papers), Receptor Mechanisms and Signaling (2 papers), Computational Drug Discovery Methods (1 paper), Renal and Vascular Pathologies (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Pulmonary and Respiratory Medicine (150 citations), Surgery (147 citations), Biochemistry (7 citations) and Clinical Biochemistry (5 citations). Frank S. Bonelli has collaborated with scholars based in United States and Canada. Frequent co-authors include John Huston, Paul C. Carpenter, Alain M. Jonas, William F. Young, Dana Erickson, Michael A. McKusick, A Schirger, Timothy J. Welch, Frederic B. Meyer and Stephen C. Textor. Their work appears in journals such as Clinical Endocrinology, Mayo Clinic Proceedings, American Journal of Neuroradiology, Analytical Biochemistry and Journal of Biological Chemistry.

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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