Rika Nishikawa

2.0k total citations
33 papers, 1.7k citations indexed

About

Rika Nishikawa is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Rika Nishikawa has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Rika Nishikawa's work include MicroRNA in disease regulation (18 papers), Circular RNAs in diseases (15 papers) and Cancer-related molecular mechanisms research (12 papers). Rika Nishikawa is often cited by papers focused on MicroRNA in disease regulation (18 papers), Circular RNAs in diseases (15 papers) and Cancer-related molecular mechanisms research (12 papers). Rika Nishikawa collaborates with scholars based in Japan. Rika Nishikawa's co-authors include Naohiko Seki, Yusuke Goto, Masayuki Nakagawa, Hideki Enokida, Takeshi Chiyomaru, Tomohiko Ichikawa, Ryosuke Matsushita, Yukio Naya, Satoko Kojima and Ichiro Fukumoto and has published in prestigious journals such as Cancer Research, FEBS Letters and The Journal of Urology.

In The Last Decade

Rika Nishikawa

32 papers receiving 1.7k citations

Peers

Rika Nishikawa
Comparison fields: 5 of 80
  • Molecular Biology 1.4k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 197
  • Oncology 139
  • Immunology 91
Replace Toshihiko Itesako with:
Toshihiko Itesako Japan
Ryosuke Matsushita Japan
Atsushi Okato Japan
Akira Kurozumi Japan
Kentaro Jingushi Japan
Keiichi Koshizuka Japan
Lynnsie Ruffino United States
Nobuhiko Sugito Japan
Fuyao Song China
Nianyuan Huang United States
Toshihiko Itesako Japan View profile →
Citations per field, relative to Rika Nishikawa
Rika Nishikawa · 1×
Citations per year, relative to Rika Nishikawa
Rika Nishikawa · 1×

Countries citing papers authored by Rika Nishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Rika Nishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Nishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Rika Nishikawa. A scholar is included among the top collaborators of Rika Nishikawa 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 Rika Nishikawa. Rika Nishikawa 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 57
2 27
3 72
4 7
5
[Comparison of the Conventional Centrifuged and Filtrated Preparations in Urine Cytology].
1
6 63
7 99
8 110
9 101
10 28
11 57
12 60
13 61
14 92
15 74
16 1
17 68
18 103
19 1
20
Genetic analysis of resistance to radiation lymphomagenesis with recombinant inbred strains of mice.
42

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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