Brian Schulte

578 citations
27 papers · 381 · h-index 9

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Cutaneous lymphoproliferative disorders research

Papers in

Brian Schulte

23 papers receiving 372 citations

Peers

Brian Schulte
Comparison fields: 5 of 83
  • Health Informatics 34
  • Dermatology 82
  • Oncology 146
  • Immunology 108
  • Pathology and Forensic Medicine 45
Replace Tayab Waseem with:
Tayab Waseem United States
Vasileia Damaskou Greece
Katja Sockel Germany
Shinichi Tsuchiya Japan
Massimiliano Di Marzo Italy
Toshiyuki Nakasone Japan
Meenal Kheterpal United States
Szczepan Cierniak Poland
Qiuying Shi United States
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Citations per field
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Tayab Waseem · 1×
Citations per year

Countries citing papers authored by Brian Schulte

Since Specialization
Citations

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

Fields of papers citing papers by Brian Schulte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014108
2
Azelaic Acid: Evidence-based Update on Mechanism of Action and Clinical Application.
201556
3 202340
4 201835
5 201732
6 202125
7 202117
8 202115
9 202310
10 20218
11 20236
12 20245
13 20205
14 20234
15
Putting clinical guidelines into practice.
20014
16 20233
17 20092
18 20241
19 20241
20 20201

About Brian Schulte

Brian Schulte is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 381 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (10 papers), CAR-T cell therapy research (6 papers), Vascular Tumors and Angiosarcomas (5 papers), Cancer Treatment and Pharmacology (3 papers), Immunotherapy and Immune Responses (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Breast Cancer Treatment Studies (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Health Informatics (34 citations), Dermatology (82 citations), Oncology (146 citations), Immunology (108 citations) and Pathology and Forensic Medicine (45 citations). Brian Schulte has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ted Rosén, Xuesong Wu, Alexander C. Mackinnon, Youwen Zhou, Dipica Haribhai, Jose A. Plaza, Calvin B. Williams, Samuel Hwang, Kimberly R. Jordan and Wei Zhang. Their work appears in journals such as Frontiers in Oncology, Cancer, British Journal of Cancer, ESMO Open and Journal of Investigative Dermatology.

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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