Futoshi Iida

1.4k citations
100 papers · 1.2k indexed · h-index 20

Futoshi Iida

94 papers receiving 1.1k citations

Peers

Futoshi Iida
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 413
  • Surgery 513
  • Gastroenterology 40
  • Pathology and Forensic Medicine 125
  • Oncology 188
Replace Edward L. Lee with:
Edward L. Lee United States
Gabriel Glockzin Germany
Hikaru Fujioka Japan
Quan Yang Duh United States
Gregory Kouraklis Greece
S A Watson United Kingdom
Y Kuroda Japan
K Kinoshita Japan
E. Mackay United Kingdom
Shiu-Feng Huang Taiwan
Futoshi Iida relative to Edward L. Lee United States Edward L. Lee's profile →
Citations per field
00.5×4.5×
Edward L. Lee · 1×
Citations per year

Countries citing papers authored by Futoshi Iida

Since Specialization
Citations

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

Fields of papers citing papers by Futoshi Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199765
2 199659
3 19955
4 199514
5 19940
6 199419
7 199335
8 19932
9 19920
10 19916
11 19909
12 19903
13 19893
14 19881
15
Clinical significances of juxtapapillary duodenal diverticula
19881
16 19880
17 19888
18 19791
19
Surgical significance of capsule invasion of adenoma of the thyroid.
197711
20
Histochemical Study of Thyroid Colloid by Azan-Mallory Staining :
19700

About Futoshi Iida

Futoshi Iida is a scholar working on Endocrinology, Diabetes and Metabolism, Gastroenterology, Surgery, Pulmonary and Respiratory Medicine and Anatomy, having authored 100 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Gastric Cancer Management and Outcomes (9 papers), Thyroid Disorders and Treatments (9 papers), Metastasis and carcinoma case studies (7 papers), Pancreatitis Pathology and Treatment (7 papers), Esophageal and GI Pathology (6 papers), Parathyroid Disorders and Treatments (5 papers) and Thyroid and Parathyroid Surgery (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (413 citations), Surgery (513 citations), Gastroenterology (40 citations), Pathology and Forensic Medicine (125 citations) and Oncology (188 citations). Futoshi Iida has collaborated with scholars based in Japan, China and Greece. Frequent co-authors include Akira Sugenoya, Takeshi Yamanda, Nobuteru Usuda, Takehisa Matsuda, Hiroyuki Masuda, Wataru Adachi, Yoshinori Nimura, Yoshio Kasuga, Masayuki Haniuda and Masami Morimoto. Their work appears in journals such as Surgery Today, Cancer, ASAIO Journal, World Journal of Surgery and Pancreas.

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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