Yuka Suzuki

1.3k citations
28 papers · 647 indexed · 1 hit paper · h-index 11

Yuka Suzuki

26 papers receiving 641 citations

Hit Papers

Aristolochic acids and their derivatives are widely impli...279201720262020202350100150200250

Peers

Yuka Suzuki
Comparison fields: 5 of 105
  • Pharmacology 118
  • Radiology, Nuclear Medicine and Imaging 170
  • Cancer Research 102
  • Complementary and alternative medicine 55
  • Analytical Chemistry 58
Replace Taketoshi Asanuma with:
Taketoshi Asanuma Japan
Hyung-Lae Lee South Korea
Chibo Liu China
Janice Nickson United Kingdom
Clifford DiLea United States
Xu Shi United States
Hongyu Qiu China
Fujio Ichimura Japan
Yuka Suzuki relative to Taketoshi Asanuma Japan Taketoshi Asanuma's profile →
Citations per field
00.5×10×14.5×
Taketoshi Asanuma · 1×
Citations per year

Countries citing papers authored by Yuka Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20214
4 202029
5 20193
6 20197
7 20198
8 201828
9
鼻の皮膚病〈臨床例〉―12)cutaneous myxoma
20171
10
Aristolochic acids and their derivatives are widely implicated in liver cancers in Taiwan and throughout Asiabreakdown →
2017279
11 20167
12 20155
13 201544
14 201410
15 20137
16 201232
17 201234
18 201213
19
[A case of gallbladder cancer associated with cholesterolosis within the cancer region].
19932
20 198824

About Yuka Suzuki

Yuka Suzuki is a scholar working on Cancer Research, Otorhinolaryngology and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 647 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Reproductive Biology and Fertility (2 papers), Genetic factors in colorectal cancer (2 papers), Sarcoma Diagnosis and Treatment (2 papers), RNA modifications and cancer (2 papers), Epilepsy research and treatment (2 papers), RNA Research and Splicing (2 papers) and Ocular Infections and Treatments (1 paper). The work is most often cited by research in Pharmacology (118 citations), Radiology, Nuclear Medicine and Imaging (170 citations) and Cancer Research (102 citations). Yuka Suzuki has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Patrick Tan, Steve Rozen, Bin Tean Teh, Mi Ni Huang, Cedric Chuan Young Ng, Willie Yu, Ming‐Chin Yu, Saranya Thangaraju, Sen‐Yung Hsieh and Arnoud Boot. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

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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