Akihiro Nawa

4.7k total citations
111 papers, 3.8k citations indexed

About

Akihiro Nawa is a scholar working on Oncology, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Akihiro Nawa has authored 111 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 39 papers in Molecular Biology and 33 papers in Reproductive Medicine. Recurrent topics in Akihiro Nawa's work include Ovarian cancer diagnosis and treatment (30 papers), Peptidase Inhibition and Analysis (11 papers) and Cancer Cells and Metastasis (10 papers). Akihiro Nawa is often cited by papers focused on Ovarian cancer diagnosis and treatment (30 papers), Peptidase Inhibition and Analysis (11 papers) and Cancer Cells and Metastasis (10 papers). Akihiro Nawa collaborates with scholars based in Japan, United States and Sweden. Akihiro Nawa's co-authors include Fumitaka Kikkawa, Hiroaki Kajiyama, Kiyosumi Shibata, Kazuhiko Ino, Mikio Terauchi, Eiko Yamamoto, Mamoru Yamashita, Kazuo Kuzuya, Tetsuro Nagasaka and Toru Nakanishi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Clinical Cancer Research.

In The Last Decade

Akihiro Nawa

110 papers receiving 3.7k citations

Peers

Akihiro Nawa
Comparison fields: 5 of 116
  • Molecular Biology 1.5k
  • Oncology 1.5k
  • Reproductive Medicine 720
  • Immunology 649
  • Cancer Research 614
Replace Kazuhiko Ino with:
Kazuhiko Ino Japan
Kiyosumi Shibata Japan
Paulette Mhawech‐Fauceglia United States
Kazunori Ochiai Japan
Ate G.J. van der Zee Netherlands
Klaske A. ten Hoor Netherlands
Elisabeth Müller‐Holzner Austria
Rouba Ali‐Fehmi United States
Rosemarie Schmandt United States
Christina M. Annunziata United States
Kazuhiko Ino Japan View profile →
Citations per field, relative to Akihiro Nawa
Akihiro Nawa · 1×
Citations per year, relative to Akihiro Nawa
Akihiro Nawa · 1×

Countries citing papers authored by Akihiro Nawa

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Nawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Nawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Nawa. A scholar is included among the top collaborators of Akihiro Nawa 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 Akihiro Nawa. Akihiro Nawa 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 18
3 8
4 17
5 14
6 26
7 18
8 19
9 9
10 3
11 15
12 62
13 20
14 17
15 35
16 48
17 128
18 18
19 25
20 47

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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