Seiji Doi

909 citations
20 papers · 737 indexed · h-index 12

Seiji Doi

20 papers receiving 726 citations

Peers

Seiji Doi
Comparison fields: 5 of 73
  • Oncology 511
  • Pulmonary and Respiratory Medicine 177
  • Molecular Biology 365
  • Pediatrics, Perinatology and Child Health 78
  • Cancer Research 58
Replace Ronald Drengler with:
Ronald Drengler United States
Hiroyoshi Maeda Japan
C.J. Bol Netherlands
Joanna Regis United States
Maria A.J. van Eijndhoven Netherlands
A Pourtier-Manzanedo France
Lyn M. Huff United States
Yan‐jun Mi China
Olga Ujhelly Hungary
S. Percy Ivy United States
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Citations per field
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Citations per year

Countries citing papers authored by Seiji Doi

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201613
2 201326
3 20129
4 201017
5 201015
6 200911
7
[Nontuberculous mycobacterial infections involving solitary pulmonary nodules].
20071
8 200610
9 20066
10 200616
11 2005147
12 200524
13 2005149
14 200460
15 200399
16 200336
17
Expression and functional analyses of breast cancer resistance protein in lung cancer.
200380
18 200111
19 19872
20 19875

About Seiji Doi

Seiji Doi is a scholar working on Microbiology, Oncology, Small Animals, Pulmonary and Respiratory Medicine and Biotechnology, having authored 20 papers that have together received 737 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (6 papers), Lung Cancer Treatments and Mutations (6 papers), Cancer therapeutics and mechanisms (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and Biochemical and biochemical processes (2 papers). The work is most often cited by research in Oncology (511 citations), Pulmonary and Respiratory Medicine (177 citations), Molecular Biology (365 citations), Pediatrics, Perinatology and Child Health (78 citations) and Cancer Research (58 citations). Seiji Doi has collaborated with scholars based in Japan, Greece and United Kingdom. Frequent co-authors include Shigeru Kohno, Yoichi Nakamura, Hiroshi Soda, Mikio Oka, Takeshi Kitazaki, Junji Tsurutani, Katsumi Nakatomi, Ken Shiozawa, Megumi Yoshikawa and Yoji Ikegami. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Clinical Lung Cancer, Lung Cancer, International Journal of Cancer and Molecular Cancer Therapeutics.

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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