Matthew S. Adams

735 citations
13 papers · 279 indexed · h-index 10

Matthew S. Adams

13 papers receiving 262 citations

Peers

Matthew S. Adams
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 80
  • Immunology 66
  • Molecular Biology 190
  • Environmental Chemistry 17
  • Cancer Research 23
Replace Andrei Sonnabend with:
Andrei Sonnabend Germany
Paul Kelly Ireland
Dror Baran Israel
Christian M. Orr United Kingdom
Lahcen Jaafar United States
Yun Song United Kingdom
Yan‐Long Jia China
Juan A. Hernández Bort Austria
Jessna H. M. Yeo Singapore
Collette Cutler United States
Matthew S. Adams relative to Andrei Sonnabend Germany Andrei Sonnabend's profile →
Citations per field
00.5×4.6×
Andrei Sonnabend · 1×
Citations per year

Countries citing papers authored by Matthew S. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20241
2 20243
3 202317
4 202316
5 20229
6 20223
7 202019
8 202039
9 201925
10 201824
11 201731
12 201731
13 201361

About Matthew S. Adams

Matthew S. Adams is a scholar working on Small Animals, Immunology, Environmental Chemistry, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 13 papers that have together received 279 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (2 papers), CAR-T cell therapy research (2 papers), Computational Drug Discovery Methods (2 papers), Molecular Biology Techniques and Applications (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (80 citations), Immunology (66 citations), Molecular Biology (190 citations), Environmental Chemistry (17 citations) and Cancer Research (23 citations). Matthew S. Adams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christopher Vollmers, Adam S. Adler, R. C. Edgar, Roger Volden, Michael A. Asensio, Ashley Byrne, Matthew Spindler, David S. Johnson, Arun K. Ghosh and Kerstin A. Effenberger. Their work appears in journals such as mAbs, Genome Research, Chemical Research in Toxicology, Genome biology and Nucleic Acids Research.

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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