Bryan Tillman

45 papers receiving 1.2k citations

Peers

Bryan Tillman
Comparison fields: 5 of 106
  • Biomaterials 431
  • Immunology 246
  • Genetics 300
  • Surgery 405
  • Oncology 227
Replace Erbin Dai with:
Erbin Dai United States
Nicolas Raynal United Kingdom
Omar F. Khan United States
Stephanie Möller Germany
Robert C. Spiro United States
Shinako Masuda Japan
Jamal S. Lewis United States
Samuel T. LoPresti United States
Thomas Billiet Belgium
Bryan Tillman relative to Erbin Dai United States Erbin Dai's profile →
Citations per field
00.5×1.5×2.2×
Erbin Dai · 1×
Citations per year

Countries citing papers authored by Bryan Tillman

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Tillman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008279
2 1999155
3 199996
4 201079
5
Adenoviral vectors targeted to CD40 enhance the efficacy of dendritic cell-based vaccination against human papillomavirus 16-induced tumor cells in a murine model.
200071
6 201265
7 201655
8 200252
9 200346
10 200946
11 201845
12 200731
13 200224
14 201223
15 200420
16 200615
17 201815
18 201712
19 200311
20 202210

About Bryan Tillman

Bryan Tillman is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Immunotherapy and Immune Responses (6 papers), Aortic Disease and Treatment Approaches (4 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Aortic aneurysm repair treatments (4 papers) and Vascular Procedures and Complications (3 papers). The work is most often cited by research in Biomaterials (431 citations), Immunology (246 citations), Genetics (300 citations), Surgery (405 citations) and Oncology (227 citations). Bryan Tillman has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Saami K. Yazdani, Randolph L. Geary, James J. Yoo, Anthony Atala, Sang Jin Lee, David T. Curiel, Herbert M. Pinedo, Winald R. Gerritsen, Tanja D. de Gruijl and Rik J. Scheper. Their work appears in journals such as Journal of Vascular Surgery, Journal of the American College of Surgeons, The Journal of Trauma: Injury, Infection, and Critical Care, Journal of Biomaterials Applications and Journal of Biomedical Materials Research Part B Applied Biomaterials.

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