Seiji Doi

914 citations
20 papers · 770 · h-index 12

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 4
    • Lung Cancer Research Studies 3
    • Histone Deacetylase Inhibitors Research 2
    • Cancer therapeutics and mechanisms 2

Seiji Doi

20 papers receiving 755 citations

Peers

Seiji Doi
Comparison fields: 5 of 71
  • Oncology 473
  • Pulmonary and Respiratory Medicine 146
  • Molecular Biology 326
  • Pediatrics, Perinatology and Child Health 67
  • Cancer Research 53
Replace Maura A. Kraynak with:
Maura A. Kraynak United States
Ronald Drengler United States
C.J. Bol Netherlands
Joanna Regis United States
Darrell Nix United States
Greta Cipriani Italy
Y Yamane Japan
Lyn M. Huff United States
Mukul Minocha United States
S. Percy Ivy United States
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Citations per field
00.5×4.3×
Maura A. Kraynak · 1×
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-authors

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 2005157
2 2005152
3 2003106
4
Expression and functional analyses of breast cancer resistance protein in lung cancer.
200382
5 200461
6 200337
7 201326
8 200524
9 200618
10 201017
11 201015
12 201613
13 200111
14 200911
15 200610
16 201210
17 19877
18 20067
19 19875
20
[Nontuberculous mycobacterial infections involving solitary pulmonary nodules].
20071

About Seiji Doi

Seiji Doi is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 20 papers that have together received 770 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Lung Cancer Treatments and Mutations (4 papers), Lung Cancer Research Studies (3 papers), Mycobacterium research and diagnosis (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cancer therapeutics and mechanisms (2 papers), Infectious Diseases and Mycology (2 papers) and Microbial Metabolism and Applications (2 papers). The work is most often cited by research in Oncology (473 citations), Pulmonary and Respiratory Medicine (146 citations), Molecular Biology (326 citations), Pediatrics, Perinatology and Child Health (67 citations) and Cancer Research (53 citations). Seiji Doi has collaborated with scholars based in Japan, Greece and United States. Frequent co-authors include Shigeru Kohno, Hiroshi Soda, Yoichi Nakamura, Mikio Oka, Takeshi Kitazaki, Junji Tsurutani, Katsumi Nakatomi, Ken Shiozawa, Megumi Yoshikawa and Hisahiro Yoshida. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, International Journal of Cancer, Clinical Lung Cancer, Lung 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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