Shigeru Kawabata

2.8k citations
46 papers · 2.3k indexed · 1 hit paper · h-index 18

Shigeru Kawabata

43 papers receiving 2.3k citations

Hit Papers

Control of PD-L1 Expression by Oncogenic Activation of th...6432015202620182022200400600

Peers

Shigeru Kawabata
Comparison fields: 5 of 92
  • Oncology 1.3k
  • Virology 87
  • Molecular Biology 1.2k
  • Cancer Research 267
  • Immunology 362
Replace Robert D. Ladner with:
Robert D. Ladner United States
Jaclyn LoPiccolo United States
Yanping Xu China
Kazuhiro Katayama Japan
Sonia Molina‐Pinelo Spain
Xiyun Deng China
Noel A. Warfel United States
R J Scheper Netherlands
Xicheng Wang China
Eugene Mechetner United States
Shigeru Kawabata relative to Robert D. Ladner United States Robert D. Ladner's profile →
Citations per field
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Robert D. Ladner · 1×
Citations per year

Countries citing papers authored by Shigeru Kawabata

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Kawabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20235
4 20221
5 20215
6 201912
7
Control of PD-L1 Expression by Oncogenic Activation of the AKT–mTOR Pathway in Non–Small Cell Lung Cancerbreakdown →
2015643
8 20156
9 201425
10 201259
11 2010345
12 2007264
13 200316
14 200218
15 200111
16 2001161
17 200167
18 20007
19
Lung resistance-related protein gene expression and drug sensitivity in human gastric and lung cancer cells.
199813
20 199822

About Shigeru Kawabata

Shigeru Kawabata is a scholar working on Microbiology, Oncology and Virology, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (8 papers), Lung Cancer Research Studies (8 papers), Lung Cancer Treatments and Mutations (7 papers), Drug Transport and Resistance Mechanisms (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), HIV/AIDS drug development and treatment (4 papers), Biochemical and Molecular Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Oncology (1.3k citations), Virology (87 citations) and Molecular Biology (1.2k citations). Shigeru Kawabata has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Phillip A. Dennis, Joell J. Gills, Regan M. Memmott, Stephen D. Fox, Hiroshi Soda, Jose R. Mercado, Colleen R. Maier, Willie Wilson, Katsumi Nakatomi and Sheng Yao.

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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