K. Niwa
- Co-authors
- Ulrich DirnaglArno VillringerUte LindauerKazutaka YamadaYutaka ChumanSuminori AkibaTakashi IshizawaTakashi Aikou
- Topics
- AI-based Problem Solving and Planning (3 papers)Multi-Agent Systems and Negotiation (2 papers)Neural Networks and Applications (2 papers)
- Cited by
- NeurologyPhysiologyOncology
- Journals
- StrokeAmerican Journal of Physiology-Heart and Circulatory PhysiologyBritish journal of surgery
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
K. Niwa
14 papers receiving 385 citations
Peers
Comparison fields: 5 of 77
- Oncology 119
- Surgery 113
- Physiology 69
- Molecular Biology 60
- Cellular and Molecular Neuroscience 57
Countries citing papers authored by K. Niwa
This map shows the geographic impact of K. 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 K. Niwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Niwa more than expected).
Fields of papers citing papers by K. Niwa
This network shows the impact of papers produced by K. 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 K. Niwa. The network helps show where K. Niwa may publish in the future.
Co-authorship network of co-authors of K. Niwa
This figure shows the co-authorship network connecting the top 25 collaborators of K. Niwa. A scholar is included among the top collaborators of K. 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 K. Niwa. K. Niwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 107 | |
| 10 | [Long-term gadolinium-enhancement of cauda equina on MRI in a case of spinal cord infarction after epidural anesthesia]. | 7 |
| 11 | 61 | |
| 12 | 158 | |
| 13 | [Acute hepatitis A (HA) presenting findings of meningoencephalitis]. | 6 |
| 14 | Effect of a dihydropyridine analogue, 2-[benzyl(phenyl)amino]ethyl 1,4-dihydro-2,6-dimethyl-5-(5,5-dimethyl-2-oxo- 1,3,2-dioxaphosphorinan-2-yl)-1-(2-morpholinoethyl)-4-(3-nitrophenyl)-3 -pyridinecarboxylate on reversing in vivo resistance of tumor cells to adriamycin. | 17 |
| 15 | [Epidemiologic background and changes in patients infected with human papilloma virus]. | 1 |
| 16 | 23 | |
| 17 | [A clinical study on radiotherapy for carcinoma of the oral tongue]. | 3 |
About K. Niwa
K. Niwa is a scholar working on Developmental Neuroscience, Otorhinolaryngology and Strategy and Management, having authored 17 papers that have together received 392 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (3 papers), Multi-Agent Systems and Negotiation (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Neurology (49 citations), Physiology (20 citations) and Oncology (119 citations). K. Niwa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ulrich Dirnagl, Arno Villringer, Ute Lindauer, Kazutaka Yamada, Yutaka Chuman, Suminori Akiba, Takashi Ishizawa, Takashi Aikou, Y Shinohara and Takao Sakata. Their work appears in journals such as Stroke, American Journal of Physiology-Heart and Circulatory Physiology and British journal of surgery.
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.