Brian Riesenberg

1.5k citations
17 papers · 857 indexed · 1 hit paper · h-index 13

Brian Riesenberg

16 papers receiving 852 citations

Hit Papers

Acetyl-CoA carboxylase obstructs CD8+ T cell lipid utiliz...62202420262025204060

Peers

Brian Riesenberg
Comparison fields: 5 of 75
  • Immunology 321
  • Oncology 356
  • Internal Medicine 47
  • Cancer Research 125
  • Hematology 91
Replace Jason E. Toombs with:
Jason E. Toombs United States
David Cervi United States
Joanna W. Ho Hong Kong
Ralf Jesnowski Germany
Lorenzo Federico United States
Carl C. Schimanski Germany
Sujatha Jagadeeswaran United States
Anne‐Laure Mathieu France
Emir Hadzijusufovic Austria
Brian Riesenberg relative to Jason E. Toombs United States Jason E. Toombs's profile →
Citations per field
00.5×
Jason E. Toombs · 1×
Citations per year

Countries citing papers authored by Brian Riesenberg

Since Specialization
Citations

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

Fields of papers citing papers by Brian Riesenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1
Acetyl-CoA carboxylase obstructs CD8+ T cell lipid utilization in the tumor microenvironmentbreakdown →
202462
2 20230
3 202215
4 20221
5 202124
6 202035
7 202091
8 202087
9 20201
10 201949
11 201932
12 20187
13 201733
14 2017265
15 201753
16 201681
17 201521

About Brian Riesenberg

Brian Riesenberg is a scholar working on Immunology, Biotechnology and Oncology, having authored 17 papers that have together received 857 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Immune cells in cancer (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (321 citations), Oncology (356 citations) and Internal Medicine (47 citations). Brian Riesenberg has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zihai Li, Bei Liu, Alessandra Metelli, Bill X. Wu, Anqi Li, Mark P. Rubinstein, Chrystal M. Paulos, Caroline Wallace, Saleh Rachidi and Yi Yang. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cancer Immunology Research, Cell Metabolism and Science Translational Medicine.

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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