Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Pivotal role of cerebral interleukin-17–producing γδT cells in the delayed phase of ischemic brain injury
This map shows the geographic impact of Mitsuo 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 Mitsuo Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Iida more than expected).
This network shows the impact of papers produced by Mitsuo 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 Mitsuo Iida. The network helps show where Mitsuo Iida may publish in the future.
Co-authorship network of co-authors of Mitsuo Iida
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Iida.
A scholar is included among the top collaborators of Mitsuo Iida 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 Mitsuo Iida. Mitsuo Iida 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
1.
Maehata, Yuji, Motohiro Esaki, Shotaro Nakamura, et al.. (2016). Risk of cancer in the rectal remnant after ileorectal anastomosis in patients with familial adenomatous polyposis: Single center experience. Acta gastro-enterologica belgica. 58(11). 2323–2331.
2.
Iwashita, Akinori, Minako Hirahashi, Satoshi Nimura, et al.. (2015). Clinicopathological Findings of Chronic Nonspecific Multiple Ulcers of the Small Intestine (Chronic Hemorrhagic Ulcers of the Small Intestine). 50(7). 917–931.1 indexed citations
Hagiwara, Noriko, Ḱazunori Toyoda, Tooru Inoue, et al.. (2006). [Strategy for management of carotid arterial stenosis: analysis of 293 consecutive patients in a Japanese cerebrovascular center].. PubMed. 58(11). 999–1004.1 indexed citations
10.
Sugitani, Atsushi, Masanori Iwase, Hidehisa Kitada, et al.. (2006). Pancreas transplantation status at Kyushu University Hospital: Clinical profiles and quality of life. 49(11). 857–862.1 indexed citations
Nohara, Sakae, et al.. (2003). A Case of Obese Type 2 Diabetes Mellitus Associated with Nonalcoholic Steatohepatitis (NASH) Treated with a Combined Therapy of Glimepiride and Insulin. 46(11). 873–879.2 indexed citations
13.
Kubo, Michiaki, Yutaka Kiyohara, Yumihiro Tanizaki, et al.. (2003). Trends in the Incidence, Mortality, and Survival Rate of Cardiovascular Disease in a Japanese Community : The Hisayama Study. Japanese Circulation Journal-english Edition. 67. 119.19 indexed citations
14.
Matsumura, Kiyoshi, Takuya Tsuchihashi, Isao Abe, & Mitsuo Iida. (2002). Central human cocaine- and amphetamine-regulated trasncript peptide increases arterial pressure in conscious rabbits. Japanese Circulation Journal-english Edition. 66. 794.4 indexed citations
Fuchigami, Tadahiko, et al.. (1988). Diagnostic problems in minute gastric cancer. Chiefly from a standpoint of radiography.. 23(7). 741–756.3 indexed citations
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.