Shuhei Kondo

998 citations
44 papers · 778 indexed · h-index 11
Topics
Ferroelectric and Piezoelectric Materials (8 papers)Natural Language Processing Techniques (6 papers)Topic Modeling (5 papers)

In The Last Decade

Shuhei Kondo

36 papers receiving 754 citations

Peers

Shuhei Kondo
Comparison fields: 5 of 117
  • Molecular Biology 312
  • Immunology 184
  • Genetics 140
  • Cellular and Molecular Neuroscience 86
  • Oncology 86
Replace Hitoshi Takeda with:
Hitoshi Takeda Japan
Deborah A. Sanders United Kingdom
Mohammad S. Saedi United States
Ruslan Sharipov Russia
Xiaonan Liu Finland
Xiaotian Zhong United States
Michael J. Munson United States
Jiachang Zhang China
Wenbo Ma China
Shuhei Kondo relative to Hitoshi Takeda Japan Hitoshi Takeda's profile →
Citations per field
00.5×5.4×
Hitoshi Takeda · 1×
Citations per year

Countries citing papers authored by Shuhei Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Shuhei Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhei Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhei Kondo. A scholar is included among the top collaborators of Shuhei Kondo 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 Shuhei Kondo. Shuhei Kondo 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 0
2 0
3 1
4 1
5 0
6 1
7 0
8 1
9 2
10
Construction of English MWE Dictionary and its Application to POS Tagging
7
11
Hidden Markov Tree Model for Word Alignment
4
12
NAIST at the HOO 2012 Shared Task
6
13
Learning of Linear Ordering Problems and its Application to J-E Patent Translation in NTCIR-9 PatentMT
7
14 3
15 27
16 3
17
Immunohistochemical analysis of expression of molecular biologic factors in intraductal papillary-mucinous tumors of pancreas--diagnostic and biologic significance.
21
18 26
19 10
20 25

About Shuhei Kondo

Shuhei Kondo is a scholar working on Urology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 44 papers that have together received 778 indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (8 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Immunology (184 citations), Genetics (140 citations) and Cellular and Molecular Neuroscience (86 citations). Shuhei Kondo has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Chihiro Kato, Risa Korenaga, Joji Ando, Yoshio Takada, Satoshi Matsuda, Shigeo Koyasu, Masashi Ohtani, Tsutomu Takeuchi, Kozue Nakamura and Shinta Mizuno. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications and Energy and Buildings.

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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