Dan Su

1.8k citations
42 papers · 1.4k · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Cancer-related gene regulation
    • Ubiquitin and proteasome pathways

Papers in

    • RNA modifications and cancer 11
    • RNA and protein synthesis mechanisms 5
    • Epigenetics and DNA Methylation 5
    • Cancer-related gene regulation 4
    • Ubiquitin and proteasome pathways 3
    • Pancreatic and Hepatic Oncology Research 3

Dan Su

41 papers receiving 1.4k citations

Peers

Dan Su
Comparison fields: 5 of 86
  • Cancer Research 206
  • Molecular Biology 1.0k
  • Nutrition and Dietetics 122
  • Oncology 202
  • Cell Biology 82
Replace Robert A. Elling with:
Robert A. Elling United States
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Harufumi Maki Japan
Kuan‐Chun Huang United States
Olivier Reelfs United Kingdom
Dušana Majera Czechia
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Dan Su relative to Robert A. Elling United States Robert A. Elling's profile →
Citations per field
00.5×1.6×
Robert A. Elling · 1×
Citations per year

Countries citing papers authored by Dan Su

Since Specialization
Citations

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

Fields of papers citing papers by Dan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014237
2 2006175
3 201392
4 201587
5 202381
6 202380
7 201176
8 200967
9 201447
10 201243
11 201341
12 201240
13 201235
14 201434
15 201424
16 201623
17 201021
18 201221
19 202021
20 202420

About Dan Su

Dan Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Renewable Energy, Sustainability and the Environment, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Lung Cancer Treatments and Mutations (6 papers), RNA and protein synthesis mechanisms (5 papers), Epigenetics and DNA Methylation (5 papers), Metalloenzymes and iron-sulfur proteins (4 papers), Cancer-related gene regulation (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (206 citations), Molecular Biology (1.0k citations), Nutrition and Dietetics (122 citations), Oncology (202 citations) and Cell Biology (82 citations). Dan Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peter C. Dedon, Thomas J. Begley, I. Ramesh Babu, Dieter G. Söll, Clement T. Y. Chan, Michael J. Hohn, Megan E. McBee, Yok Hian Chionh, Chen Gu and Kok Seong Lim. Their work appears in journals such as Plant Disease, Proceedings of the National Academy of Sciences, Advanced Functional Materials, FEBS Letters and ACS Nano.

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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