Eiichi Gohda

3.4k citations
96 papers · 3.0k indexed · 1 hit paper · h-index 28

Impact in

  • Hepatology top 0.5%
    • Liver physiology and pathology
  • Surgery top 5%
    • Pancreatic function and diabetes
    • Organ Transplantation Techniques and Outcomes

Papers in

Eiichi Gohda

95 papers receiving 2.9k citations

Hit Papers

Molecular cloning and sequence analysis of cDNA for human hepatocyte growth factor 1989 · 590 citations
5901989202620012013100200300400500

Peers

Eiichi Gohda
Comparison fields: 5 of 122
  • Hepatology 1.7k
  • Surgery 1.1k
  • Epidemiology 755
  • Pharmacology 170
  • Biochemistry 109
Replace Shuichi Seki with:
Shuichi Seki Japan
Ewa Ellis Sweden
Ling Xu China
Tinghong Ye China
Yoshinori Inagaki Japan
Patrick Maloney United States
Tadayoshi Okumura Japan
Kenneth Dorko United States
Xiongying Miao China
Chang Han United States
Eiichi Gohda relative to Shuichi Seki Japan Shuichi Seki's profile →
Citations per field
00.5×1.5×1.9×
Shuichi Seki · 1×
Citations per year

Countries citing papers authored by Eiichi Gohda

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Gohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20223
2 201245
3 20126
4 200923
5 200410
6 200215
7 199832
8 19988
9 199853
10 199818
11 19978
12 19965
13 199437
14 199433
15 199463
16 199310
17 19921
18 19919
19 199046
20 19873

About Eiichi Gohda

Eiichi Gohda is a scholar working on Hepatology, Pharmacology, Biochemistry, Immunology and Immunology and Allergy, having authored 96 papers that have together received 3.0k indexed citations. Recurring topics across this work include Liver physiology and pathology (43 papers), Pancreatic function and diabetes (18 papers), Liver Disease Diagnosis and Treatment (16 papers), Fibroblast Growth Factor Research (9 papers), Vitamin C and Antioxidants Research (8 papers), Hepatitis B Virus Studies (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). The work is most often cited by research in Hepatology (1.7k citations), Surgery (1.1k citations), Epidemiology (755 citations), Pharmacology (170 citations) and Biochemistry (109 citations). Eiichi Gohda has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Itaru Yamamoto, Yasushi Daikuhara, Hiroyuki Nakayama, Hirohito Tsubouchi, Kozo Takahashi, Akihiro Tai, Shuichi Hirono, Naomi Kitamura, Daiji Naka and N Arakaki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemical Pharmacology, Cytokine, Biological and Pharmaceutical Bulletin and International Immunopharmacology.

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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