Steve C. Ding

1.0k citations
10 papers · 765 · h-index 9

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
  • Virology top 10%

Papers in

    • interferon and immune responses 6
    • Immune Response and Inflammation 3
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • RNA regulation and disease 2
    • RNA modifications and cancer 2

Steve C. Ding

10 papers receiving 759 citations

Peers

Steve C. Ding
Comparison fields: 5 of 61
  • Immunology 477
  • Virology 34
  • Hepatology 52
  • Infectious Diseases 120
  • Molecular Biology 432
Replace Huabin Tian with:
Huabin Tian China
Kazuhide Onoguchi Japan
Élodie Décembre France
Alexandra Oteiza France
Florian Eberle Germany
John C. Rassa United States
Patricia Domingues United Kingdom
Gaia Trincucci Switzerland
Marie-Louise Michel France
Sonja Schmid United States
Steve C. Ding relative to Huabin Tian China Huabin Tian's profile →
Citations per field
00.5×4.4×
Huabin Tian · 1×
Citations per year

Countries citing papers authored by Steve C. Ding

Since Specialization
Citations

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

Fields of papers citing papers by Steve C. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve C. Ding. 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 Steve C. Ding. The network helps show where Steve C. Ding may publish in the future.

Co-authors

The 21 scholars most cited alongside Steve C. Ding, 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 Steve C. Ding Line = papers co-authored together Steve C. Ding links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2011330
2 201390
3 201384
4
Virology: Principles and Applications
200876
5 201163
6 201248
7 201127
8 201422
9 201418
10 20127

About Steve C. Ding

Steve C. Ding is a scholar working on Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Hepatology, having authored 10 papers that have together received 765 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Immune Response and Inflammation (3 papers), Influenza Virus Research Studies (2 papers), RNA Research and Splicing (2 papers), Hepatitis C virus research (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA regulation and disease (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Immunology (477 citations), Virology (34 citations), Hepatology (52 citations), Infectious Diseases (120 citations) and Molecular Biology (432 citations). Steve C. Ding has collaborated with scholars based in United States and Russia. Frequent co-authors include Anna Marie Pyle, Andrew Kohlway, Dahai Luo, Brett D. Lindenbach, David Rawling, Jianqing Li, Michael Diamond, Brian Chung, Sumit K. Chanda and Olga Fedorova. Their work appears in journals such as Journal of Virology, mBio, Journal of Biological Chemistry, Journal of Molecular Biology and The Yale Journal of Biology and Medicine.

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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