K Hatakeyama

1000 citations
36 papers · 850 indexed · h-index 16
Topics
Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (12 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)
Partner nations
JapanGermanyGreece

In The Last Decade

K Hatakeyama

36 papers receiving 831 citations

Peers

K Hatakeyama
Comparison fields: 5 of 89
  • Immunology 460
  • Surgery 149
  • Oncology 102
  • Hepatology 97
  • Epidemiology 91
Replace Tetsuya Moroda with:
Tetsuya Moroda Japan
Geoffrey Paltser Canada
Paula Carvalho Costa Italy
Najma Javed United States
Isaac Rosado‐Sánchez Spain
Scott D. Butler United States
Roland Köditz Germany
María Barberà-Cremades Spain
David Díaz Spain
J. van Gool Netherlands
K Hatakeyama relative to Tetsuya Moroda Japan Tetsuya Moroda's profile →
Citations per field
00.5×5.1×
Tetsuya Moroda · 1×
Citations per year

Countries citing papers authored by K Hatakeyama

Since Specialization
Citations

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

Fields of papers citing papers by K Hatakeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Hatakeyama

This figure shows the co-authorship network connecting the top 25 collaborators of K Hatakeyama. A scholar is included among the top collaborators of K Hatakeyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K Hatakeyama. K Hatakeyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 19
3 6
4 11
5 10
6 19
7 27
8 28
9 6
10 7
11 21
12 2
13 2
14 25
15 114
16
Characterization of intermediate T-cell receptor cells expanding in the liver, thymus and other organs in autoimmune lpr mice: parallel analysis with their normal counterparts.
13
17 63
18
[Bacteriological, pharmacokinetic and clinical studies of 5% and 10% granules of cefdinir in the pediatric field].
1
19
[Pharmacokinetic and clinical studies on panipenem/betamipron in the pediatric field].
1
20 15

About K Hatakeyama

K Hatakeyama is a scholar working on Hepatology, Immunology and Transplantation, having authored 36 papers that have together received 850 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Immunology (460 citations), Hepatology (97 citations) and Behavioral Neuroscience (40 citations). K Hatakeyama has collaborated with scholars based in Japan, Germany and Greece. Frequent co-authors include Toru Abo, Tsuneo Iiai, Haruki Watanabe, Tetsuya Moroda, Akihiro Tsukahara, Takashi Tada, Susumu Suzuki, Yasumasa Takii, Masahiro Minagawa and Kazuo Endoh. Their work appears in journals such as Hepatology, British journal of surgery and Clinical & Experimental Immunology.

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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2026