Brian Schillinger

469 citations
10 papers · 372 · h-index 7

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 9
    • Colorectal Cancer Treatments and Studies 3
    • Cancer Treatment and Pharmacology 1
    • Cancer Genomics and Diagnostics 4

Brian Schillinger

10 papers receiving 361 citations

Peers

Brian Schillinger
Comparison fields: 5 of 43
  • Oncology 273
  • Cancer Research 74
  • Immunology 79
  • Pulmonary and Respiratory Medicine 58
  • Biotechnology 17
Replace Francesca Sparano with:
Francesca Sparano Italy
Α. Kotsakis Greece
Nathalie Rioux-Leclerc France
Alice Giacobino Italy
Lee B. Riley United States
Blessie Elizabeth Nelson United States
Weiwei Ning China
Marion Hädrich Switzerland
Thérèse Phillips United States
Yung‐Ming Cheng Taiwan
Brian Schillinger relative to Francesca Sparano Italy Francesca Sparano's profile →
Citations per field
00.5×1.5×2.1×
Francesca Sparano · 1×
Citations per year

Countries citing papers authored by Brian Schillinger

Since Specialization
Citations

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

Fields of papers citing papers by Brian Schillinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200782
2 200780
3 201066
4 200855
5 200554
6 200818
7 200811
8 20072
9 20062
10 20042

About Brian Schillinger

Brian Schillinger is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Infectious Diseases, having authored 10 papers that have together received 372 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Cancer Genomics and Diagnostics (4 papers), Colorectal Cancer Treatments and Studies (3 papers), T-cell and B-cell Immunology (1 paper), Cancer Treatment and Pharmacology (1 paper), Immunotherapy and Immune Responses (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Oncology (273 citations), Cancer Research (74 citations), Immunology (79 citations), Pulmonary and Respiratory Medicine (58 citations) and Biotechnology (17 citations). Brian Schillinger has collaborated with scholars based in United States. Frequent co-authors include Andrew H. Ko, Alan P. Venook, Elizabeth Dito, Margaret A. Tempero, Emily K. Bergsland, Jimmy J. Hwang, Janet H. Scott, Jeanne M. Quivey, W. Michael Korn and Robin Kate Kelley. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, Cancer Chemotherapy and Pharmacology, Journal of Immunotherapy and Cancer Investigation.

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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