Dan Su

1.8k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Dan Su is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Dan Su has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Dan Su's work include Immunotherapy and Immune Responses (3 papers), Platelet Disorders and Treatments (3 papers) and T-cell and B-cell Immunology (3 papers). Dan Su is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Platelet Disorders and Treatments (3 papers) and T-cell and B-cell Immunology (3 papers). Dan Su collaborates with scholars based in China, United States and Belgium. Dan Su's co-authors include J. Daniel, Vytautas Iešmantavičius, Christian Schölz, Brian T. Weinert, Sebastian Wagner, Chunaram Choudhary, Lars Juhl Jensen, Ivo A. Hendriks, David Lyon and Michael L. Nielsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Dan Su

26 papers receiving 1.3k citations

Hit Papers

Lysine Succinylation Is a Frequently Occurring Modificati... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers

Dan Su
Comparison fields: 5 of 105
  • Molecular Biology 801
  • Immunology 182
  • Oncology 167
  • Epidemiology 143
  • Geriatrics and Gerontology 141
Replace Jeong Soo Yang with:
Jeong Soo Yang South Korea
Shyamal K. Goswami India
Sarah D. Lamore United States
Francesco Fiorentino Italy
Byung Woo Han South Korea
Raffaele Frazzi Italy
Dylan J. Sorensen United States
Wuguang Lu China
Hyun Seok Kim South Korea
Alexandria K. Sahu United States
Jeong Soo Yang South Korea View profile →
Citations per field, relative to Dan Su
Dan Su · 1×
Citations per year, relative to Dan Su
Dan Su · 1×

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-authorship network of co-authors of Dan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Su. A scholar is included among the top collaborators of Dan Su 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 Dan Su. Dan Su 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 9
2 2
3 17
4 14
5 4
6 96
7 3
8 27
9 153
10 155
11 11
12 1
13 23
14
Lysine Succinylation Is a Frequently Occurring Modification in Prokaryotes and Eukaryotes and Extensively Overlaps with Acetylation breakdown →
591
15 4
16 5
17 29
18 4
19
[The cytology mechanism of anti-parainfluenza virus infection of total flavone of Scutellaria barbata].
10
20 51

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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