Matthew P. Rausch

1.5k total citations
12 papers, 199 citations indexed

About

Matthew P. Rausch is a scholar working on Immunology, Cell Biology and Oncology. According to data from OpenAlex, Matthew P. Rausch has authored 12 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Matthew P. Rausch's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (3 papers). Matthew P. Rausch is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (3 papers). Matthew P. Rausch collaborates with scholars based in United States and Switzerland. Matthew P. Rausch's co-authors include Karen Taraszka Hastings, Nicholas P. Restifo, Paul A. Antony, Kari R. Irvine, Peter Cresswell, Hung Kam Cheung, Daruka Mahadevan, Emmanuel T. Akporiaye, Janet E. Simon and Chad Starkey and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

Matthew P. Rausch

12 papers receiving 196 citations

Peers

Matthew P. Rausch
Comparison fields: 5 of 65
  • Immunology 102
  • Molecular Biology 67
  • Oncology 52
  • Epidemiology 28
  • Cell Biology 17
Replace Jianhui Wang with:
Jianhui Wang United States
Richard M Jin United States
Amanda J. L. Ridley United Kingdom
Pawat Laohamonthonkul Australia
Mathias Krummen Germany
Cyrille Mionnet France
Olga Halle Germany
Jasmin Grählert Switzerland
Jacqueline Bailey Australia
Ania Bogoslowski Canada
Jianhui Wang United States View profile →
Citations per field, relative to Matthew P. Rausch
Matthew P. Rausch · 1×
Citations per year, relative to Matthew P. Rausch
Matthew P. Rausch · 1×

Countries citing papers authored by Matthew P. Rausch

Since Specialization
Citations

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

Fields of papers citing papers by Matthew P. Rausch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew P. Rausch. 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 Matthew P. Rausch. The network helps show where Matthew P. Rausch may publish in the future.

Co-authorship network of co-authors of Matthew P. Rausch

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Rausch. A scholar is included among the top collaborators of Matthew P. Rausch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew P. Rausch. Matthew P. Rausch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 7
2 12
3 2
4 12
5 13
6 42
7 29
8 42
9
An orally active small molecule TGF-beta receptor I antagonist inhibits the growth of metastatic murine breast cancer.
35
10
Enhancement of DC-based immunotherapy using a small molecule TGF-β inhibitor
1
11 3
12 1

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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