Stephen Tully

824 citations
11 papers · 357 · h-index 7

Impact in

  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Stephen Tully

11 papers receiving 353 citations

Peers

Stephen Tully
Comparison fields: 5 of 51
  • Epidemiology 213
  • Hepatology 39
  • Microbiology 21
  • Oncology 67
  • Modeling and Simulation 9
Replace Jade Pattyn with:
Jade Pattyn Belgium
Jie Ting United States
A Sehgal India
Mohamed Mutocheluh Ghana
Laurence Lecomte France
Sabrina Chen United States
Lucy Muchiri Kenya
Genevieve Chappell Australia
Jason K. H. Lee Canada
Kari Natunen Finland
Stephen Tully relative to Jade Pattyn Belgium Jade Pattyn's profile →
Citations per field
00.5×10×16×
Jade Pattyn · 1×
Citations per year

Countries citing papers authored by Stephen Tully

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Tully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Stephen Tully, 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 Stephen Tully Line = papers co-authored together Stephen Tully links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017134
2 201682
3 201955
4 201923
5 201119
6 201514
7 201312
8 20216
9 20176
10 20165
11 20241

About Stephen Tully

Stephen Tully is a scholar working on Epidemiology, Oncology, Infectious Diseases, General Health Professions and Sociology and Political Science, having authored 11 papers that have together received 357 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (4 papers), CAR-T cell therapy research (3 papers), HIV/AIDS Research and Interventions (2 papers), Adolescent Sexual and Reproductive Health (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Evolutionary Game Theory and Cooperation (1 paper), Renal cell carcinoma treatment (1 paper) and Digital Games and Media (1 paper). The work is most often cited by research in Epidemiology (213 citations), Hepatology (39 citations), Microbiology (21 citations), Oncology (67 citations) and Modeling and Simulation (9 citations). Stephen Tully has collaborated with scholars based in Canada, France and Colombia. Frequent co-authors include Silvia Franceschi, Gary M. Clifford, William Wong, Vanessa Tenet, Hugo De Vuyst, Thomas McFarlane, Chris T. Bauch, John J. Kim, Martyn Plummer and M Cojocaru. Their work appears in journals such as Papillomavirus Research, Scientific Reports, Clinical Infectious Diseases, Mathematical Biosciences & Engineering and JCO Clinical Cancer Informatics.

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.

Explore authors with similar magnitude of impact