Bayasi Guleng

2.0k citations
50 papers · 1.6k indexed · h-index 21
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 4
    • Cancer, Hypoxia, and Metabolism 4
  • Oncology top 5%
    • Cancer-related gene regulation 5
  • Immunology top 10%
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 5
  • Hepatology top 10%
    • Hepatitis C virus research 5
    • Hepatitis B Virus Studies 5

Bayasi Guleng

49 papers receiving 1.6k citations

Peers

Bayasi Guleng
Comparison fields: 5 of 87
  • Cancer Research 377
  • Oncology 480
  • Molecular Biology 1.0k
  • Immunology 283
  • Hepatology 93
Replace Amarsanaa Jazag with:
Amarsanaa Jazag Japan
Lakjaya Buluwela United Kingdom
Katerina Pardali Sweden
Maria Antonia Frassanito Italy
Xincheng Lu China
Jiwang Zhang United States
Gerhard Leder Germany
Toshihiko Ohtomo Japan
David S. Garlick United States
Giuliana Papoff Italy
Bayasi Guleng relative to Amarsanaa Jazag Japan Amarsanaa Jazag's profile →
Citations per field
00.5×1.5×2.3×
Amarsanaa Jazag · 1×
Citations per year

Countries citing papers authored by Bayasi Guleng

Since Specialization
Citations

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

Fields of papers citing papers by Bayasi Guleng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202211
2 202111
3 20213
4 201817
5 201610
6 20153
7 20153
8 201476
9 201420
10 201313
11 20132
12 201325
13 20122
14 201276
15 201114
16 201121
17 20090
18 200513
19 200583
20 200453

About Bayasi Guleng

Bayasi Guleng is a scholar working on Hepatology, Cancer Research and Immunology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Hepatitis B Virus Studies (5 papers), Cancer-related gene regulation (5 papers), Immune Cell Function and Interaction (5 papers), Hepatitis C virus research (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (377 citations), Oncology (480 citations) and Molecular Biology (1.0k citations). Bayasi Guleng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Amarsanaa Jazag, Jianlin Ren, Masao Omata, Yasuo Tanaka, Keisuke Tateishi, Fumihiko Kanai, Yoshinari Asaoka, Tsuneo Ikenoue, Takao Kawabe and Miki Ohta. Their work appears in journals such as Nucleic Acids Research, Immunity and Gastroenterology.

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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