Hitoshi Niwa

24.8k total citations · 7 hit papers
178 papers, 19.4k citations indexed

About

Hitoshi Niwa is a scholar working on Molecular Biology, Anesthesiology and Pain Medicine and Physiology. According to data from OpenAlex, Hitoshi Niwa has authored 178 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 26 papers in Anesthesiology and Pain Medicine and 25 papers in Physiology. Recurrent topics in Hitoshi Niwa's work include Pluripotent Stem Cells Research (70 papers), CRISPR and Genetic Engineering (48 papers) and Renal and related cancers (24 papers). Hitoshi Niwa is often cited by papers focused on Pluripotent Stem Cells Research (70 papers), CRISPR and Genetic Engineering (48 papers) and Renal and related cancers (24 papers). Hitoshi Niwa collaborates with scholars based in Japan, United States and United Kingdom. Hitoshi Niwa's co-authors include Jun‐ichi Miyazaki, Ken‐ichi Yamamura, Austin Smith, Daisuke Shimosato, Yayoi Toyooka, Shinji Masui, Kadue Takahashi, Kenjiro Adachi, Janet Rossant and Minoru S.H. Ko and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hitoshi Niwa

174 papers receiving 19.1k citations

Hit Papers

Efficient selection for high-expression transfectants wit... 1991 2026 2002 2014 1991 2000 2005 2007 2009 1000 2.0k 3.0k 4.0k

Peers

Hitoshi Niwa
Comparison fields: 5 of 155
  • Molecular Biology 14.8k
  • Genetics 2.9k
  • Surgery 1.9k
  • Cell Biology 1.5k
  • Cellular and Molecular Neuroscience 1.5k
Replace Thomas Doetschman with:
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Citations per field, relative to Hitoshi Niwa
Hitoshi Niwa · 1×
Citations per year, relative to Hitoshi Niwa
Hitoshi Niwa · 1×

Countries citing papers authored by Hitoshi Niwa

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Niwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Niwa

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Niwa. A scholar is included among the top collaborators of Hitoshi Niwa 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 Hitoshi Niwa. Hitoshi Niwa 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 1
3 0
4 2
5 9
6 2
7 4
8 17
9 7
10 25
11 20
12 24
13 10
14 3
15 4
16 5
17 6
18 60
19 45
20
Ľintubation nasotrachéale guidée par un cathéter ďaspiration à extrémité courbée réduit ľépistaxis
30

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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