Shingo Fujio

908 citations
57 papers · 498 · h-index 13

Impact in

Papers in

Shingo Fujio

52 papers receiving 491 citations

Peers

Shingo Fujio
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 275
  • Genetics 128
  • Cancer Research 48
  • Neurology 46
  • Epidemiology 62
Replace Shunchang Ma with:
Shunchang Ma China
Martin K. Hunn Australia
Eivind Carlsen United Kingdom
Takao Kuroki Japan
Jacek Kunicki Poland
Christina Stache Germany
Sonia Cheng Canada
Takakazu Yokoyama Japan
Nicoletta Bazzoni Italy
Mirela Diana Ilie France
Shingo Fujio relative to Shunchang Ma China Shunchang Ma's profile →
Citations per field
00.5×8.3×
Shunchang Ma · 1×
Citations per year

Countries citing papers authored by Shingo Fujio

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Fujio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201079
2 202040
3 201834
4 201326
5 201424
6 201322
7 201618
8 201315
9 202015
10 202215
11 200814
12 202113
13 202213
14 201212
15 201412
16 201011
17 201210
18 20159
19 20207
20 20167

About Shingo Fujio

Shingo Fujio is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Epidemiology, having authored 57 papers that have together received 498 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (29 papers), Glioma Diagnosis and Treatment (13 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Adrenal and Paraganglionic Tumors (8 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Head and Neck Surgical Oncology (4 papers), Meningioma and schwannoma management (4 papers) and Neurosurgical Procedures and Complications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (275 citations), Genetics (128 citations), Cancer Research (48 citations), Neurology (46 citations) and Epidemiology (62 citations). Shingo Fujio has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Kazunori Arita, Hirofumi Hirano, Shunji Yunoue, Koji Yoshimoto, Atsushi Tominaga, Ryosuke Hanaya, Manoj Bohara, Hiroshi Tokimura, Tetsuhiko Sakoguchi and Hajime Yonezawa. Their work appears in journals such as Neurologia medico-chirurgica, Pituitary, World Neurosurgery, Brain Tumor Pathology and European Journal of Endocrinology.

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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