Hideo Baba

2.6k citations
41 papers · 1.9k indexed · 1 hit paper · h-index 22
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 5
    • Cancer, Hypoxia, and Metabolism 4
  • Oncology top 5%
    • RNA modifications and cancer 6
    • Mechanisms of cancer metastasis 5
    • Cancer-related gene regulation 4
  • Immunology top 10%
    • Complement system in diseases 4
    • Esophageal Cancer Research and Treatment 3

Hideo Baba

40 papers receiving 1.9k citations

Hit Papers

Human Microbiome Fusobacterium Nucleatum in Esophageal Ca...3652016202620192022100200300

Peers

Hideo Baba
Comparison fields: 5 of 94
  • Cancer Research 586
  • Oncology 473
  • Molecular Biology 1.2k
  • Periodontics 72
  • Immunology 233
Replace Hitoshi Kawamata with:
Hitoshi Kawamata Japan
Xiaoshan Feng China
Fuyou Zhou China
Marcus Renner Germany
Gerhard Dyckhoff Germany
Motohiro Kobayashi Japan
Devendra D. Patel India
Ken-ichi Inada Japan
Calin Stoicov United States
Hideo Baba relative to Hitoshi Kawamata Japan Hitoshi Kawamata's profile →
Citations per field
00.5×1.5×1.9×
Hitoshi Kawamata · 1×
Citations per year

Countries citing papers authored by Hideo Baba

Since Specialization
Citations

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

Fields of papers citing papers by Hideo Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20186
3
Human Microbiome Fusobacterium Nucleatum in Esophageal Cancer Tissue Is Associated with Prognosisbreakdown →
2016365
4 201630
5 201620
6 20167
7 201658
8 201539
9 201461
10 201454
11 201377
12 201384
13 201293
14 200820
15 20055
16 200113
17 19961
18 199535
19 19953
20
Antitumor chemosensitivity differs between clinical sarcoma and adenocarcinoma tissues.
199410

About Hideo Baba

Hideo Baba is a scholar working on Cancer Research, Gastroenterology and Molecular Biology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Mechanisms of cancer metastasis (5 papers), Complement system in diseases (4 papers), Cancer-related gene regulation (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Esophageal Cancer Research and Treatment (3 papers). The work is most often cited by research in Cancer Research (586 citations), Oncology (473 citations) and Molecular Biology (1.2k citations). Hideo Baba has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Masayuki Watanabe, Yoshifumi Baba, Naoya Yoshida, Masaaki Iwatsuki, Takatsugu Ishimoto, Keisuke Miyake, Yasuo Sakamoto, Yukiharu Hiyoshi, Hiroshi Sawayama and Koichi Kinoshita.

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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