Morio Koike

9.3k citations
128 papers · 6.6k indexed · 3 hit papers · h-index 40

Morio Koike

121 papers receiving 6.4k citations

Hit Papers

A new clinicopathological entity of IgG4-related autoimmu...1.0k19912026200220142505007501000

Peers

Morio Koike
Comparison fields: 5 of 120
  • Rheumatology 1.6k
  • Oncology 1.9k
  • Surgery 2.2k
  • Epidemiology 1.7k
  • Hepatology 359
Replace A M Gown with:
A M Gown United States
Lizhi Zhang United States
Carlos E. Bacchi Brazil
Peiguo Chu United States
Yasuni Nakanuma Japan
Katsuyuki Aozasa Japan
Kenji Sano Japan
Rondell P. Graham United States
Annette Schmitt‐Graeff Germany
Vallì De Re Italy
Morio Koike relative to A M Gown United States A M Gown's profile →
Citations per field
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A M Gown · 1×
Citations per year

Countries citing papers authored by Morio Koike

Since Specialization
Citations

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

Fields of papers citing papers by Morio Koike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20076
2 2005118
3 200315
4 2002181
5 2001234
6 200117
7 2000116
8
Significance of thymidine phosphorylase as a marker of protumor monocytes in breast cancer.
199958
9
A case of pancreatic carcinoma associated with anomalous arrangement of the pancreaticobiliary ductal system
19991
10 199927
11 199629
12 199532
13 199581
14 19941
15 199353
16 19910
17 19892
18 198825
19 19863
20
19842

About Morio Koike

Morio Koike is a scholar working on Oncology, Pathology and Forensic Medicine, Hepatology, Neurology and Epidemiology, having authored 128 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (14 papers), Pancreatic and Hepatic Oncology Research (13 papers), Neuroblastoma Research and Treatments (11 papers), Genetic factors in colorectal cancer (11 papers), Gastric Cancer Management and Outcomes (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Viral-associated cancers and disorders (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Rheumatology (1.6k citations), Oncology (1.9k citations), Surgery (2.2k citations), Epidemiology (1.7k citations) and Hepatology (359 citations). Morio Koike has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Atsutake Okamoto, Yukiko Hayashi, Yoshinobu Eishi, Nobuaki Funata, Terumi Kamisawa, Masakazu Toi, Kouji Tsuruta, Kenji Kawaguchi, Naoto Egawa and Hisashi Saji. Their work appears in journals such as Cancer, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Pathology International, Journal of Gastroenterology and Human Pathology.

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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