Hideki Niimi

1.4k citations
57 papers · 1.0k · h-index 13

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • TGF-β signaling in diseases
    • Hedgehog Signaling Pathway Studies
    • Wnt/β-catenin signaling in development and cancer

Papers in

Hideki Niimi

47 papers receiving 1000 citations

Peers

Hideki Niimi
Comparison fields: 5 of 103
  • Oncology 253
  • Molecular Biology 538
  • Cancer Research 105
  • Microbiology 40
  • Obstetrics and Gynecology 50
Replace Steve P. Crampton with:
Steve P. Crampton United States
Frances Santiago‐Schwarz United States
Sidong Xiong China
Maureen Lynch United States
Toshinao Kawai Japan
Bethany Tesar United States
Elliot S. Jerud United States
Umesh S. Deshmukh United States
Diana Castaño Colombia
Simona Ferrari Italy
Hideki Niimi relative to Steve P. Crampton United States Steve P. Crampton's profile →
Citations per field
00.5×2.6×
Steve P. Crampton · 1×
Citations per year

Countries citing papers authored by Hideki Niimi

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Niimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideki Niimi, 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 Hideki Niimi Line = papers co-authored together Hideki Niimi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005492
2 2007113
3 201547
4 200039
5 201130
6 201628
7 200721
8 201521
9 201721
10 201517
11 202215
12 201713
13 202312
14 201912
15 201111
16 201810
17 20198
18
[A girl with Down syndrome complicated by moyamoya disease and symptomatic atlanto-axial instability].
19938
19 20197
20 20227

About Hideki Niimi

Hideki Niimi is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (10 papers), COVID-19 Clinical Research Studies (7 papers), Streptococcal Infections and Treatments (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Biosensors and Analytical Detection (6 papers), Preterm Birth and Chorioamnionitis (6 papers), Long-Term Effects of COVID-19 (5 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Oncology (253 citations), Molecular Biology (538 citations), Cancer Research (105 citations), Microbiology (40 citations) and Obstetrics and Gynecology (50 citations). Hideki Niimi has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Aristidis Moustakas, Carl‐Henrik Heldin, Marcin Kowanetz, Ulrich Valcourt, Isao Kitajima, Katerina Pardali, Michael Vanlandewijck, Satoshi Yoneda, Shigeru Saito and Noriko Yoneda. Their work appears in journals such as Scientific Reports, American Journal of Reproductive Immunology, Forensic Science International Genetics, Frontiers in Immunology and Analytical Biochemistry.

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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