Harumi Hata

421 total citations
15 papers, 334 citations indexed

About

Harumi Hata is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Harumi Hata has authored 15 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Cancer Research. Recurrent topics in Harumi Hata's work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Harumi Hata is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Harumi Hata collaborates with scholars based in Japan, United States and Germany. Harumi Hata's co-authors include Ichiro Sora, Kazutaka Ikeda, George R. Uhl, Hideaki Kobayashi, Masayuki Tatemichi, Toshio Nakadate, Wenhua Han, Shinya Kasai, Yohtaro Numachi and Akinobu Kurita and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Controlled Release and Gene.

In The Last Decade

Harumi Hata

15 papers receiving 327 citations

Peers

Harumi Hata
Comparison fields: 5 of 70
  • Molecular Biology 170
  • Cellular and Molecular Neuroscience 164
  • Physiology 48
  • Biochemistry 30
  • Cancer Research 27
Replace Ishani Deb with:
Ishani Deb India
Hai-Hui Zhou China
Beatrice Garrone Italy
Xiu‐Min Lu China
T. DeGuzman United States
Mariko Fujiwara Japan
Wenbo Kang China
Shadia E. Nada United States
Eva Lavado Spain
Jan R. Slabbaert Belgium
Ishani Deb India View profile →
Citations per field, relative to Harumi Hata
Harumi Hata · 1×
Citations per year, relative to Harumi Hata
Harumi Hata · 1×

Countries citing papers authored by Harumi Hata

Since Specialization
Citations

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

Fields of papers citing papers by Harumi Hata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harumi Hata

This figure shows the co-authorship network connecting the top 25 collaborators of Harumi Hata. A scholar is included among the top collaborators of Harumi Hata 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 Harumi Hata. Harumi Hata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 5
2 2
3 4
4 26
5 16
6
Lipopolysaccharide induces aberrant hypermethylation of Hic-1 in mouse embryonic fibroblasts lacking p53 gene.
14
7 52
8 40
9 11
10 25
11 14
12 11
13 26
14 42
15 46

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