A. Nawa

30 papers receiving 1.3k citations

Peers

A. Nawa
Comparison fields: 5 of 76
  • Biological Psychiatry 152
  • Reproductive Medicine 288
  • Immunology and Allergy 87
  • Behavioral Neuroscience 41
  • Oncology 295
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Mat Rousch Netherlands
Klaske A. ten Hoor Netherlands
Esther Elishaev United States
Zoya R. Yurkovetsky United States
Mark DeWitte United States
Eleonora Leucci Belgium
Daniela Eggle Germany
Magali Irla France
Irena Frydecka Poland
Cheikh Menaa United States
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Citations per field
00.5×8.4×
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Citations per year

Countries citing papers authored by A. Nawa

Since Specialization
Citations

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

Fields of papers citing papers by A. Nawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Nawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Nawa Line = papers co-authored together A. Nawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006214
2 2006106
3
Both focal adhesion kinase and c-Ras are required for the enhanced matrix metalloproteinase 9 secretion by fibronectin in ovarian cancer cells.
1998103
4 200799
5 199788
6 200778
7 200369
8 200860
9
Fibronectin secretion from human peritoneal tissue induces Mr 92,000 type IV collagenase expression and invasion in ovarian cancer cell lines.
199757
10 201055
11 200153
12 201152
13 200634
14 199330
15 201029
16 200728
17
Aminopeptidase inhibitor ubenimex (bestatin) inhibits the growth of human choriocarcinoma in nude mice through its direct cytostatic activity.
199628
18 201127
19 201125
20
Identification of the pregnancy responsible for gestational trophoblastic disease by DNA analysis.
199325

About A. Nawa

A. Nawa is a scholar working on Oncology, Epidemiology, Reproductive Medicine, Genetics and Molecular Biology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Herpesvirus Infections and Treatments (5 papers), Virus-based gene therapy research (5 papers), Protease and Inhibitor Mechanisms (3 papers), Peptidase Inhibition and Analysis (3 papers), Gestational Trophoblastic Disease Studies (3 papers), Cancer Cells and Metastasis (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Biological Psychiatry (152 citations), Reproductive Medicine (288 citations), Immunology and Allergy (87 citations), Behavioral Neuroscience (41 citations) and Oncology (295 citations). A. Nawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Fumitaka Kikkawa, Kiyosumi Shibata, Kazuhiko Ino, Hiroaki Kajiyama, Seiji Nomura, T Nagasaka, Eiko Yamamoto, Mikio Terauchi, Michinari Hamaguchi and Fumi Goshima. Their work appears in journals such as British Journal of Cancer, International Journal of Gynecological Cancer, European Journal of Surgical Oncology, Cancer Gene Therapy and Annals of Oncology.

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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