Kazutoshi Mukada

615 citations
29 papers · 383 indexed · h-index 11
Topics
Pituitary Gland Disorders and Treatments (14 papers)Glioma Diagnosis and Treatment (7 papers)Meningioma and schwannoma management (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Kazutoshi Mukada

29 papers receiving 372 citations

Peers

Kazutoshi Mukada
Comparison fields: 5 of 43
  • Endocrinology, Diabetes and Metabolism 162
  • Surgery 158
  • Genetics 155
  • Neurology 92
  • Epidemiology 76
Replace Kenichi Sekido with:
Kenichi Sekido Japan
Yasuo Sasagawa Japan
Ryszard Czepko Poland
Tao Fan China
Y Kuroda Japan
Floyd L. Haar United States
Sven Schlaffer Germany
Jason Sheehan United States
Ye Gu China
Yosef Laviv Israel
Kazutoshi Mukada relative to Kenichi Sekido Japan Kenichi Sekido's profile →
Citations per field
00.5×1.5×1.8×
Kenichi Sekido · 1×
Citations per year

Countries citing papers authored by Kazutoshi Mukada

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Mukada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutoshi Mukada

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutoshi Mukada. A scholar is included among the top collaborators of Kazutoshi Mukada 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 Kazutoshi Mukada. Kazutoshi Mukada 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
#WorkIndexed citations
1 10
2 15
3 16
4 8
5 15
6 4
7 5
8 59
9 12
10 13
11 54
12 7
13 9
14
[A case of pituitary adenoma with simultaneous secretion of TSH and GH detected by double immunostaining method].
1
15 6
16 2
17 1
18
Antitumor effect of recombinant human lymphotoxin on a tumor line of human malignant glioma.
4
19
Magnetic resonance imaging of pituitary microadenomas
1
20 4

About Kazutoshi Mukada

Kazutoshi Mukada is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Neurology, having authored 29 papers that have together received 383 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (14 papers), Glioma Diagnosis and Treatment (7 papers) and Meningioma and schwannoma management (5 papers). The work is most often cited by research in Genetics (155 citations), Endocrinology, Diabetes and Metabolism (162 citations) and Neurology (92 citations). Kazutoshi Mukada has collaborated with scholars based in Japan and United States. Frequent co-authors include Kaoru Kurisu, Kazunori Arita, Masayuki Sumida, T Uozumi, Tohru Uozumi, Kazuhiko Sugiyama, Jun Onda, Fusao Ikawa, Hideki Satoh and Katsuzo Kiya. Their work appears in journals such as Cancer, Neurosurgery and American Journal of Neuroradiology.

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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