Bryan Tillman

1.6k citations
48 papers · 1.2k · h-index 16

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Immunology top 10%
    • Immunotherapy and Immune Responses

Papers in

    • Tissue Engineering and Regenerative Medicine 5
    • Aortic Disease and Treatment Approaches 9
    • Aortic aneurysm repair treatments 8
    • Vascular Procedures and Complications 6

Bryan Tillman

44 papers receiving 1.2k citations

Peers

Bryan Tillman
Comparison fields: 5 of 107
  • Biomaterials 442
  • Immunology 264
  • Genetics 311
  • Surgery 443
  • Oncology 247
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Citations per field
00.5×3.7×
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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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008279
2 1999155
3 199995
4 201077
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 201263
7 201655
8 200252
9 200346
10 201845
11 200945
12 200731
13 200223
14 201223
15 200420
16 200615
17 201814
18 201712
19 200311
20 20099

About Bryan Tillman

Bryan Tillman is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Immunology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (9 papers), Virus-based gene therapy research (8 papers), Aortic aneurysm repair treatments (8 papers), Vascular Procedures and Complications (6 papers), Immunotherapy and Immune Responses (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Biomaterials (442 citations), Immunology (264 citations), Genetics (311 citations), Surgery (443 citations) and Oncology (247 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 Biomaterials Applications, The Journal of Trauma: Injury, Infection, and Critical Care, Journal of the American College of Surgeons and Surgery.

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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