Frank Pucino

4.4k total citations
61 papers, 2.4k citations indexed

About

Frank Pucino is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Frank Pucino has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 10 papers in Epidemiology. Recurrent topics in Frank Pucino's work include Thyroid Disorders and Treatments (16 papers), Pituitary Gland Disorders and Treatments (8 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Frank Pucino is often cited by papers focused on Thyroid Disorders and Treatments (16 papers), Pituitary Gland Disorders and Treatments (8 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Frank Pucino collaborates with scholars based in United States, Greece and Taiwan. Frank Pucino's co-authors include György Csákó, Robert Wesley, Rohit Loomba, T. Jake Liang, Jay H. Hoofnagle, Nicholas J. Sarlis, Rita Mincemoyer, Kwang Kon Koh, Myron A. Waclawiw and Victor Guetta and has published in prestigious journals such as New England Journal of Medicine, Annals of Internal Medicine and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Frank Pucino

59 papers receiving 2.3k citations

Peers

Frank Pucino
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Epidemiology 871
  • Hepatology 522
  • Surgery 370
  • Molecular Biology 366
Replace Antonio Picardi with:
Antonio Picardi Italy
Maarten E. Tushuizen Netherlands
Sandra Milić Croatia
Umberto Vespasiani‐Gentilucci Italy
Monika A. Niewczas United States
Shigeko Hara Japan
Jeremy Cobbold United Kingdom
Ivana Mikolašević Croatia
Tadashi Toyama Japan
Jong In Yang South Korea
Antonio Picardi Italy View profile →
Citations per field, relative to Frank Pucino
Frank Pucino · 1×
Citations per year, relative to Frank Pucino
Frank Pucino · 1×

Countries citing papers authored by Frank Pucino

Since Specialization
Citations

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

Fields of papers citing papers by Frank Pucino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Pucino

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Pucino. A scholar is included among the top collaborators of Frank Pucino 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 Frank Pucino. Frank Pucino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 25
3 37
4 37
5 73
6 6
7 1
8 169
9 10
10 9
11 19
12 17
13 4
14 5
15 32
16 18
17 2
18 30
19 21
20 2

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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