Michael N. Pakdaman

479 total citations
16 papers, 350 citations indexed

About

Michael N. Pakdaman is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Sensory Systems. According to data from OpenAlex, Michael N. Pakdaman has authored 16 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 4 papers in Sensory Systems. Recurrent topics in Michael N. Pakdaman's work include Thyroid Cancer Diagnosis and Treatment (8 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Head and Neck Anomalies (3 papers). Michael N. Pakdaman is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (8 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Head and Neck Anomalies (3 papers). Michael N. Pakdaman collaborates with scholars based in United States, Canada and Sweden. Michael N. Pakdaman's co-authors include Jay Udani, Daniel J. Lee, Hugh D. Curtin, Barbara S. Herrmann, Ali R. Sepahdari, Kevin A. Peng, Richard J. Payne, Whitney B. Pope, Louise Rochon and Grace Hyun J. Kim and has published in prestigious journals such as Journal of the American College of Surgeons, American Journal of Neuroradiology and The Laryngoscope.

In The Last Decade

Michael N. Pakdaman

16 papers receiving 337 citations

Peers

Michael N. Pakdaman
Comparison fields: 5 of 63
  • Sensory Systems 104
  • Endocrinology, Diabetes and Metabolism 94
  • Neurology 79
  • Surgery 69
  • Molecular Biology 65
Muharrem Dağlı Türkiye
Takao Hamamoto Japan
E. Hentzer Denmark
P Lefèbvre Belgium
Giuseppe Ciniglio Appiani Italy
Jin‐Ok Lee South Korea
Min‐Jee Kim South Korea
Sheila Vignali Germany
Mario Luiz Vieira Castiglioni Brazil
Tadataka Tsuji Japan
Muharrem Dağlı Türkiye View profile →
Citations per field, relative to Michael N. Pakdaman
Michael N. Pakdaman · 1×
Citations per year, relative to Michael N. Pakdaman
Michael N. Pakdaman · 1×

Countries citing papers authored by Michael N. Pakdaman

Since Specialization
Citations

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

Fields of papers citing papers by Michael N. Pakdaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael N. Pakdaman. 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 Michael N. Pakdaman. The network helps show where Michael N. Pakdaman may publish in the future.

Co-authorship network of co-authors of Michael N. Pakdaman

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 15
2 13
3 73
4 67
5 26
6 11
7 1
8 6
9 57
10 1
11 9
12
Bilateral papillary thyroid cancer and associated histopathologic findings.
11
13 33
14 1
15 24
16 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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