Saori Hatachi

663 total citations
26 papers, 545 citations indexed

About

Saori Hatachi is a scholar working on Rheumatology, Epidemiology and Physiology. According to data from OpenAlex, Saori Hatachi has authored 26 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 6 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Saori Hatachi's work include Salivary Gland Disorders and Functions (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Saori Hatachi is often cited by papers focused on Salivary Gland Disorders and Functions (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Saori Hatachi collaborates with scholars based in Japan, United Kingdom and United States. Saori Hatachi's co-authors include Shunichi Kumagai, Masato Yagita, Seiji Kawano, Masaaki Fujita, Tasuku Honjo, M. Koshiba, Masahiro Kurosaka, Ryuichi Saura, Takashi Nakazawa and Akio Morinobu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Saori Hatachi

24 papers receiving 531 citations

Peers

Saori Hatachi
Comparison fields: 5 of 80
  • Immunology 221
  • Rheumatology 141
  • Oncology 126
  • Molecular Biology 93
  • Epidemiology 90
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Loes Linsen Belgium
Gianni Binotto Italy
Yang‐Mi Her South Korea
Kongyang Ma China
Balázs Szalay Hungary
Hermann-Josef GroCombining Diaeresisne Germany
Oliver Wengert Germany
Edith Álvarez-León Mexico
Marielle Martin France
V. Modena Italy
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Citations per field, relative to Saori Hatachi
Saori Hatachi · 1×
Citations per year, relative to Saori Hatachi
Saori Hatachi · 1×

Countries citing papers authored by Saori Hatachi

Since Specialization
Citations

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

Fields of papers citing papers by Saori Hatachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saori Hatachi

This figure shows the co-authorship network connecting the top 25 collaborators of Saori Hatachi. A scholar is included among the top collaborators of Saori Hatachi 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 Saori Hatachi. Saori Hatachi 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
# Work Indexed citations
1 1
2 2
3 10
4 1
5 0
6 6
7 8
8 12
9 73
10 16
11 7
12 13
13 9
14 10
15 6
16 31
17
Enhanced expression of programmed death-1 (PD-1)/PD-L1 in salivary glands of patients with Sjögren's syndrome.
68
18
[Natural killer cell activity, activity of lymphokine-activated killer cells (LAK activity), and killer-helper factors (KHF)].
0
19 55
20
CD4+ PD-1+ T cells accumulate as unique anergic cells in rheumatoid arthritis synovial fluid.
83

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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