I Kimura

1.1k citations
84 papers · 727 · h-index 14

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
  • Pharmacology top 10%
    • Alkaloids: synthesis and pharmacology

Papers in

I Kimura

68 papers receiving 665 citations

Peers

I Kimura
Comparison fields: 5 of 101
  • Oncology 205
  • Pharmacology 60
  • Toxicology 19
  • Immunology and Allergy 25
  • Chemical Health and Safety 3
Replace Marie-Paule Merville with:
Marie-Paule Merville Belgium
El‐Sayed Akool Egypt
Yi-Lin Chen Taiwan
Qiaoyun Chen China
Hervé Lemaréchal France
Naohiro Yamashita Japan
Eunah Chung United States
Susan A. Moak United States
Yen‐You Lin Taiwan
Rohinton S. Tarapore United States
I Kimura relative to Marie-Paule Merville Belgium Marie-Paule Merville's profile →
Citations per field
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Marie-Paule Merville · 1×
Citations per year

Countries citing papers authored by I Kimura

Since Specialization
Citations

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

Fields of papers citing papers by I Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199797
2 199365
3 198164
4 200058
5 197737
6 199130
7 198429
8 200928
9
Cytologic and histologic correlation in primary lung cancer. A study of 154 cases with resectable tumors.
198527
10 198024
11 199224
12
Production of a monoclonal antibody-methotrexate conjugate utilizing dextran T-40 and its biologic activity.
198423
13 199319
14 198615
15 199211
16
[Malignancies in patients with sarcoidosis].
19929
17 19958
18 19938
19 19907
20 19687

About I Kimura

I Kimura is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Physiology and Genetics, having authored 84 papers that have together received 727 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Lung Cancer Research Studies (9 papers), Cancer Treatment and Pharmacology (8 papers), Asthma and respiratory diseases (7 papers), Neuroendocrine Tumor Research Advances (7 papers), Cancer therapeutics and mechanisms (7 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Oncology (205 citations), Pharmacology (60 citations), Toxicology (19 citations), Immunology and Allergy (25 citations) and Chemical Health and Safety (3 citations). I Kimura has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hiroshi Ueoka, Katsuyuki Kiura, T Ohnoshi, Shunkichi Hiraki, Naohide Kinae, Hiroo Kanamori, Ikuyoshi Tomita, Takashi Makita, Yoshihiko Segawa and Jun Wada. Their work appears in journals such as Experimental Biology and Medicine, Oncology, Lung Cancer, Neuroradiology and Diabetes Research and Clinical Practice.

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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