Adam D. Cotton

853 citations
6 papers · 605 indexed · 2 hit papers · h-index 5
Topics
Protein Degradation and Inhibitors (3 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)CAR-T cell therapy research (2 papers)

In The Last Decade

Adam D. Cotton

6 papers receiving 595 citations

Hit Papers

Development of Antibody-Based PROTACs for the Degradation...202120262022202420212022100200300

Peers

Adam D. Cotton
Comparison fields: 5 of 51
  • Molecular Biology 505
  • Oncology 284
  • Radiology, Nuclear Medicine and Imaging 75
  • Immunology 56
  • Hematology 46
Replace Josef A. Gramespacher with:
Josef A. Gramespacher United States
Maya Datt Joshi United States
Juan A. Cámara United States
Keiko Sekine Japan
Roel Willems Belgium
Debbie Hall United Kingdom
Qifeng Qiu United States
Joseph A. Wawrzyniak United States
Toshihide Nishibata Japan
Matthias Kaup Germany
Adam D. Cotton relative to Josef A. Gramespacher United States Josef A. Gramespacher's profile →
Citations per field
00.5×1.5×
Josef A. Gramespacher · 1×
Citations per year

Countries citing papers authored by Adam D. Cotton

Since Specialization
Citations

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

Fields of papers citing papers by Adam D. Cotton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam D. Cotton. 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 Adam D. Cotton. The network helps show where Adam D. Cotton may publish in the future.

Co-authorship network of co-authors of Adam D. Cotton

This figure shows the co-authorship network connecting the top 25 collaborators of Adam D. Cotton. A scholar is included among the top collaborators of Adam D. Cotton 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 Adam D. Cotton. Adam D. Cotton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 29
2
Modular cytokine receptor-targeting chimeras for targeted degradation of cell surface and extracellular proteinsbreakdown →
152
3 62
4 4
5 5
6
Development of Antibody-Based PROTACs for the Degradation of the Cell-Surface Immune Checkpoint Protein PD-L1breakdown →
353

About Adam D. Cotton

Adam D. Cotton is a scholar working on History and Philosophy of Science, Statistics, Probability and Uncertainty and Gender Studies, having authored 6 papers that have together received 605 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (284 citations), Molecular Biology (505 citations) and Hematology (46 citations). Adam D. Cotton has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include James A. Wells, Josef A. Gramespacher, Ian B. Seiple, Duy Nguyen, Fernando Salangsang, James R. Byrnes, Katarina Pance, Juan A. Cámara, Veronica Steri and Jonathan S. Weissman. Their work appears in journals such as Journal of the American Chemical Society, Nature Biotechnology and ACS Chemical Biology.

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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