Thomas Su

2.7k citations
21 papers · 2.0k indexed · 1 hit paper · h-index 15

Thomas Su

20 papers receiving 2.0k citations

Hit Papers

Cell-type-specific isolation of ribosome-associated mRNA ...6402009202620142020200400600

Peers

Thomas Su
Comparison fields: 5 of 92
  • Immunology 684
  • Neurology 140
  • Molecular Biology 969
  • Developmental Neuroscience 58
  • Cancer Research 205
Replace Masao Kishikawa with:
Masao Kishikawa Japan
Frieder Schwenk Germany
Lieve Umans Belgium
Hubertus Kohler Switzerland
Tomoyuki Tokunaga Japan
Jay W. Shin Japan
Kaya Bilgüvar United States
Claus Munck Petersen Denmark
Olivia Wendling France
Sheila Harroch France
Thomas Su relative to Masao Kishikawa Japan Masao Kishikawa's profile →
Citations per field
00.5×3.0×
Masao Kishikawa · 1×
Citations per year

Countries citing papers authored by Thomas Su

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20255
3 20231
4 201512
5 201246
6 201133
7 201070
8
Cell-type-specific isolation of ribosome-associated mRNA from complex tissuesbreakdown →
2009640
9 200844
10 200847
11 200494
12 200495
13 200463
14 20048
15 200293
16 2002270
17 2002116
18 2002185
19 200287
20 199855

About Thomas Su

Thomas Su is a scholar working on Aging, Immunology, Reproductive Medicine, Dermatology and Urology, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Reproductive Biology and Fertility (3 papers), Pluripotent Stem Cells Research (2 papers), Facial Rejuvenation and Surgery Techniques (2 papers), Dermatologic Treatments and Research (2 papers), Sperm and Testicular Function (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Immunology (684 citations), Neurology (140 citations), Molecular Biology (969 citations), Developmental Neuroscience (58 citations) and Cancer Research (205 citations). Thomas Su has collaborated with scholars based in United States and China. Frequent co-authors include G. Stanley McKnight, David J. Rawlings, Paul S. Amieux, Linghai Yang, Elisenda Sanz, David R. Morris, Beichu Guo, Rejean L. Idzerda, Randolph Wall and Michael A. Teitell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Dermatologic Surgery, PLoS ONE, Current Biology and Current Opinion in Immunology.

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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