Thomas J. Monica

8 total papers · 444 total citations
7 papers, 348 citations indexed

About

Thomas J. Monica is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Thomas J. Monica has authored 7 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in Thomas J. Monica's work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Thomas J. Monica is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Thomas J. Monica collaborates with scholars based in United States, France and China. Thomas J. Monica's co-authors include Charles F. Goochee, Cheng Yu, William L. Luyben, B. Maiorella, Dana C. Andersen, Georg A. Roth, Francisco Javier Castillo, Joshua A. Horwitz and Erik M. Whiteley and has published in prestigious journals such as Nature Biotechnology, Industrial & Engineering Chemistry Research and Glycobiology.

In The Last Decade

Thomas J. Monica

7 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas J. Monica 272 89 55 51 44 7 348
P. M. Hayter 327 1.2× 77 0.9× 37 0.7× 66 1.3× 4 0.1× 6 397
Anna Europa 343 1.3× 35 0.4× 22 0.4× 45 0.9× 27 0.6× 8 379
Canping Jiang 318 1.2× 156 1.8× 26 0.5× 35 0.7× 15 0.3× 10 379
Muralidhar Mallem 296 1.1× 147 1.7× 30 0.5× 19 0.4× 3 0.1× 7 333
Adam Nylen 274 1.0× 121 1.4× 22 0.4× 22 0.4× 3 0.1× 8 306
Gregory Zarbis‐Papastoitsis 276 1.0× 178 2.0× 49 0.9× 14 0.3× 6 0.1× 7 344
George Dutina 326 1.2× 109 1.2× 24 0.4× 60 1.2× 4 0.1× 7 381
E.K. Read 272 1.0× 83 0.9× 32 0.6× 12 0.2× 32 0.7× 4 343
Yuzhou Fan 311 1.1× 154 1.7× 24 0.4× 26 0.5× 13 0.3× 9 330
Burkhard Wilms 306 1.1× 46 0.5× 8 0.1× 68 1.3× 3 0.1× 11 363

Countries citing papers authored by Thomas J. Monica

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Monica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Monica. 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 Thomas J. Monica. The network helps show where Thomas J. Monica may publish in the future.

Co-authorship network of co-authors of Thomas J. Monica

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

All Works

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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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