Samuel P. Bugis

22 papers receiving 611 citations

Peers

Samuel P. Bugis
Comparison fields: 5 of 46
  • Nephrology 100
  • Endocrinology, Diabetes and Metabolism 207
  • Emergency Medicine 74
  • Surgery 259
  • Reproductive Medicine 35
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David Melcher United Kingdom
J M Miranda Mexico
G M Bonomo Italy
Rudolf‐Josef Fischer Germany
S. Guillaume-Czitrom France
H. Kim Park United States
Yasunori Kawachi Japan
Katharina Holstein Germany
Angelos A. Kambouris United States
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Citations per year

Countries citing papers authored by Samuel P. Bugis

Since Specialization
Citations

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

Fields of papers citing papers by Samuel P. Bugis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel P. Bugis. 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 Samuel P. Bugis. The network helps show where Samuel P. Bugis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200696
2 199387
3 198663
4 200554
5 199044
6 199234
7 199229
8 199528
9 201027
10 199027
11 200622
12 200521
13 200920
14 200619
15 201217
16
Utility of intraoperative parathyroid hormone measurement in predicting postparathyroidectomy hypocalcemia.
200813
17 200812
18 199012
19 19955
20 20123

About Samuel P. Bugis

Samuel P. Bugis is a scholar working on Surgery, Nephrology, Endocrinology, Diabetes and Metabolism, Immunology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 636 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Thyroid and Parathyroid Surgery (2 papers), BRCA gene mutations in cancer (1 paper), Cervical Cancer and HPV Research (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Nephrology (100 citations), Endocrinology, Diabetes and Metabolism (207 citations), Emergency Medicine (74 citations), Surgery (259 citations) and Reproductive Medicine (35 citations). Samuel P. Bugis has collaborated with scholars based in Canada, United States and Hungary. Frequent co-authors include Sam M. Wiseman, Stuart Archibald, Noelle Davis, James Young, J. E. M. Young, Christopher Baliski, G E Wilkins, Blair Walker, Douglas Filipenko and John Hay. Their work appears in journals such as The American Journal of Surgery, Annals of Surgical Oncology, European Archives of Oto-Rhino-Laryngology, World Journal of Surgical Oncology and Canadian Journal of Surgery.

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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