S Habu

759 citations
12 papers · 642 indexed · 1 hit paper · h-index 9
Topics
Immune Cell Function and Interaction (4 papers)Adrenal Hormones and Disorders (2 papers)T-cell and B-cell Immunology (2 papers)
Partner nations
JapanIndiaArmenia

In The Last Decade

S Habu

12 papers receiving 597 citations

Hit Papers

In vivo effects of anti-asialo GM1. I. Reduction of NK ac...19812026199620111981100200300

Peers

S Habu
Comparison fields: 5 of 87
  • Immunology 412
  • Molecular Biology 125
  • Oncology 98
  • Physiology 70
  • Genetics 65
Replace Yasushi Ohmi with:
Yasushi Ohmi Japan
R. Tepper United States
Sophie Bosset France
Kenji Iwakabe Japan
Włodzimierz Ptak Poland
E Sabbadini Canada
T Nagaoki Japan
Naïma Benbernou France
Marlies Ballegeer Belgium
Dmitry J. Liepinsh United States
S Habu relative to Yasushi Ohmi Japan Yasushi Ohmi's profile →
Citations per field
00.5×1.5×
Yasushi Ohmi · 1×
Citations per year

Countries citing papers authored by S Habu

Since Specialization
Citations

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

Fields of papers citing papers by S Habu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Habu

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 104
2 78
3 11
4 12
5 18
6 6
7 4
8 9
9 12
10 14
11
In vivo effects of anti-asialo GM1. I. Reduction of NK activity and enhancement of transplanted tumor growth in nude mice.breakdown →
373
12
[Autopsy case of SLE (systemic lupus erythematosus) with various symptoms of Guillain-Barre syndrome and various psychoneurotic syndromes].
1

About S Habu

S Habu is a scholar working on Toxicology, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 642 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Adrenal Hormones and Disorders (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (412 citations), Behavioral Neuroscience (45 citations) and Biological Psychiatry (15 citations). S Habu has collaborated with scholars based in Japan, India and Armenia. Frequent co-authors include Ko Okumura, Naritaka Tamaoki, Yuya Nagai, Michio Kasai, Kunihiro Shimamura, H Fukui, Yasushi Ohmi, Takashi Nishimura, Takashi Yahata and Akio Ohta. Their work appears in journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute and Journal of Virology.

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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