E Hashimura

24 papers receiving 978 citations

Peers

E Hashimura
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 182
  • Cellular and Molecular Neuroscience 418
  • Hepatology 164
  • Reproductive Medicine 111
  • Behavioral Neuroscience 44
Replace Seishi Maeda with:
Seishi Maeda Japan
B Hunyady Hungary
Jerzy Kaleczyc Poland
R. Franceschini Italy
N. -O. Sj�berg Sweden
Orna Avsian-Kretchmer United States
P. E. Belchetz United States
Nick Ling United States
Takafumi Tsuchiya Japan
Lidia Kirsteins United States
E Hashimura relative to Seishi Maeda Japan Seishi Maeda's profile →
Citations per field
00.5×3.1×
Seishi Maeda · 1×
Citations per year

Countries citing papers authored by E Hashimura

Since Specialization
Citations

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

Fields of papers citing papers by E Hashimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Plasma cholecystokinin responses after ingestion of liquid meal and intraduodenal infusion of fat, amino acids, or hydrochloric acid in man: analysis with region specific radioimmunoassay.
1983123
2 1983102
3 1982101
4 198487
5
A hybrid bioartificial liver composed of multiplated hepatocyte monolayers.
198984
6 198460
7 197957
8 198456
9 197955
10 198344
11 201129
12
Identification of envelope glycoprotein encoded by env gene of human T-cell leukemia virus.
198328
13 199228
14
A hybrid artificial liver system. Function of cultured monolayer pig hepatocytes in plasma from hepatic failure patients.
199224
15 199523
16 197919
17
Marked prolongation in disappearance half-time of plasma cholecystokinin-octapeptide in patients with hepatic cirrhosis.
198516
18 198016
19 198315
20 198112

About E Hashimura

E Hashimura is a scholar working on Cellular and Molecular Neuroscience, Surgery, Endocrine and Autonomic Systems, Reproductive Medicine and Hepatology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Liver physiology and pathology (3 papers), Receptor Mechanisms and Signaling (3 papers), Hypothalamic control of reproductive hormones (3 papers), Vector-Borne Animal Diseases (2 papers), T-cell and Retrovirus Studies (2 papers), Vestibular and auditory disorders (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (182 citations), Cellular and Molecular Neuroscience (418 citations), Hepatology (164 citations), Reproductive Medicine (111 citations) and Behavioral Neuroscience (44 citations). E Hashimura has collaborated with scholars based in Japan, Spain and Russia. Frequent co-authors include Kenichi Imagawa, Kensuke Tateishi, Takafumi Hamaoka, Fumio Shimizu, M. Tohyama, Sadao Shiosaka, K Imagawa, Tomoyoshi Nishino, Shinobu Inagaki and Yoshiyuki Kubota. Their work appears in journals such as Neuroscience, Cell and Tissue Research, Hepatology Research, Virology and FEBS Letters.

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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