Tae Niwa

543 total citations
16 papers, 471 citations indexed

About

Tae Niwa is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Tae Niwa has authored 16 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Genetics. Recurrent topics in Tae Niwa's work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Muscle metabolism and nutrition (2 papers). Tae Niwa is often cited by papers focused on Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers) and Muscle metabolism and nutrition (2 papers). Tae Niwa collaborates with scholars based in Japan, United States and Germany. Tae Niwa's co-authors include Takashi Miyazaki, Saori Tsukushi, Shigeru Sugiyama, Ichiro Niki, G. Lehmann, Gert Hein, Sybille Franke, G Stein, Charles Weiss and Weihui Yu and has published in prestigious journals such as Diabetes, FEBS Letters and Clinical Chemistry.

In The Last Decade

Tae Niwa

15 papers receiving 449 citations

Peers

Tae Niwa
Comparison fields: 5 of 72
  • Molecular Biology 188
  • Nephrology 131
  • Surgery 112
  • Physiology 67
  • Endocrinology, Diabetes and Metabolism 63
Replace K Aida with:
K Aida Japan
Takuya Kitamura Japan
Shozo Torikai Japan
B. A. J. Veldman Netherlands
Qiu Gen Zhou China
Mako Yasuda Japan
Yoshikuni Fujita Japan
Zilin Sun China
Chenzhong Li China
Toshihide Shike Japan
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Citations per field, relative to Tae Niwa
Tae Niwa · 1×
Citations per year, relative to Tae Niwa
Tae Niwa · 1×

Countries citing papers authored by Tae Niwa

Since Specialization
Citations

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

Fields of papers citing papers by Tae Niwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Niwa

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 6
2 78
3 12
4 25
5 4
6 5
7 20
8 47
9 38
10 19
11
The protein metabolite hypothesis, a model for the progression of renal failure: an oral adsorbent lowers indoxyl sulfate levels in undialyzed uremic patients.
177
12 16
13
[An autopsy case of gliomatosis cerebri with marked swelling of the spinal cord].
5
14 16
15
[An autopsy case of the first occurrence of tsutsugamushi disease in Gifu Prefecture--with special reference to complication with disseminated intravascular coagulation].
2
16
A statistical consideration on the litter-size in swine, with special reference to its repeatability.
1

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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