Matthew Schombs

16 total papers · 468 total citations
8 papers, 124 citations indexed

About

Matthew Schombs is a scholar working on Molecular Biology, Organic Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew Schombs has authored 8 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Organic Chemistry and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew Schombs's work include Glycosylation and Glycoproteins Research (6 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Matthew Schombs is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Matthew Schombs collaborates with scholars based in United States, Italy and United Kingdom. Matthew Schombs's co-authors include Jacquelyn Gervay‐Hague, Hsiao‐Wu Hsieh, Wenjun Du, Suvarn S. Kulkarni, M. Robert J. Vallée, John Colyer, Xuanwen Li, James H. Small, Shang‐Cheng Hung and Richard R. Rustandi and has published in prestigious journals such as Chemical Communications, The Journal of Organic Chemistry and Bioconjugate Chemistry.

In The Last Decade

Matthew Schombs

8 papers receiving 124 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Schombs 104 101 15 13 8 8 124
Ulf Tedebark 99 1.0× 188 1.9× 9 0.6× 9 0.7× 8 1.0× 20 219
Richard J. Budhu 101 1.0× 82 0.8× 15 1.0× 8 0.6× 8 1.0× 7 175
Andrew L. McIver 164 1.6× 75 0.7× 47 3.1× 15 1.2× 13 1.6× 10 273
Nobuyuki P. Aoki 94 0.9× 227 2.2× 10 0.7× 6 0.5× 27 3.4× 10 264
Sheila B. McLoughlin 27 0.3× 98 1.0× 8 0.5× 9 0.7× 10 1.3× 7 150
Patricia Sommer 55 0.5× 164 1.6× 37 2.5× 12 0.9× 10 1.3× 9 258
Manman Zhu 29 0.3× 60 0.6× 11 0.7× 5 0.4× 4 0.5× 13 129
Gesa Volkers 44 0.4× 136 1.3× 29 1.9× 4 0.3× 19 2.4× 10 231
Eun Wook Choi 71 0.7× 100 1.0× 7 0.5× 11 0.8× 3 0.4× 7 248
Vimbai M. Chikwana 45 0.4× 198 2.0× 7 0.5× 18 1.4× 5 0.6× 10 275

Countries citing papers authored by Matthew Schombs

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Schombs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Schombs

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Schombs. A scholar is included among the top collaborators of Matthew Schombs 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 Schombs. Matthew Schombs 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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