Koji Mukasa

2.3k total citations
31 papers, 1.2k citations indexed

About

Koji Mukasa is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Koji Mukasa has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Pathology and Forensic Medicine and 5 papers in Surgery. Recurrent topics in Koji Mukasa's work include Thyroid Disorders and Treatments (14 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Pituitary Gland Disorders and Treatments (6 papers). Koji Mukasa is often cited by papers focused on Thyroid Disorders and Treatments (14 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Pituitary Gland Disorders and Treatments (6 papers). Koji Mukasa collaborates with scholars based in Japan, United States and United Kingdom. Koji Mukasa's co-authors include Koichi Ito, Yo Kunii, Jaeduk Yoshimura Noh, Natsuko Watanabe, Masako Matsumoto, Kunihiko Ito, Hidemi Ohye, Ai Yoshihara, Miho Suzuki and Atsushi Nakajima and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Koji Mukasa

31 papers receiving 1.2k citations

Peers

Koji Mukasa
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 814
  • Pathology and Forensic Medicine 233
  • Epidemiology 150
  • Surgery 148
  • Molecular Biology 144
Replace Simone De Leo with:
Simone De Leo Italy
Ritva Kauppinen‐Mäkelin Finland
Yo Kunii Japan
Tan Tominaga Japan
Demetrios A. Koutras Greece
Junichi Tajiri Japan
Tracy E. Hunley United States
Jody Ginsberg Canada
Rachel T. McGrath Australia
Harris C. Taylor United States
Simone De Leo Italy View profile →
Citations per field, relative to Koji Mukasa
Koji Mukasa · 1×
Citations per year, relative to Koji Mukasa
Koji Mukasa · 1×

Countries citing papers authored by Koji Mukasa

Since Specialization
Citations

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

Fields of papers citing papers by Koji Mukasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Mukasa

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Mukasa. A scholar is included among the top collaborators of Koji Mukasa 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 Koji Mukasa. Koji Mukasa 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 18
2 26
3 5
4 11
5 13
6 7
7 13
8 35
9 74
10 26
11 147
12 103
13 45
14 64
15 24
16 14
17 26
18 17
19 17
20 25

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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