Matthew F. Wipperman

1.8k citations
30 papers · 821 indexed · h-index 13
Topics
Gut microbiota and health (7 papers)COVID-19 Clinical Research Studies (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaMolecular Cell

In The Last Decade

Matthew F. Wipperman

28 papers receiving 806 citations

Peers

Matthew F. Wipperman
Comparison fields: 5 of 107
  • Molecular Biology 541
  • Infectious Diseases 405
  • Epidemiology 151
  • Pharmacology 128
  • Immunology 97
Replace Alissa J. Rivera with:
Alissa J. Rivera United States
Yibing Peng China
Fengling Yang China
Alida R. Ovrutsky United States
Douglas V. Guzior United States
Melania Capitani Italy
Marjolène Straube France
Lieke M. Spekhorst Netherlands
Avner Leshem Israel
Matthew F. Wipperman relative to Alissa J. Rivera United States Alissa J. Rivera's profile →
Citations per field
00.5×7.3×
Alissa J. Rivera · 1×
Citations per year

Countries citing papers authored by Matthew F. Wipperman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew F. Wipperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew F. Wipperman

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 12
3 0
4 3
5 9
6 1
7 34
8 9
9 2
10 4
11 8
12 36
13 28
14 65
15 18
16 50
17 133
18 103
19 50
20 2

About Matthew F. Wipperman

Matthew F. Wipperman is a scholar working on Infectious Diseases, Pharmacology and Immunology, having authored 30 papers that have together received 821 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), COVID-19 Clinical Research Studies (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Infectious Diseases (405 citations), Pharmacology (128 citations) and Molecular Biology (541 citations). Matthew F. Wipperman has collaborated with scholars based in United States, Haiti and Switzerland. Frequent co-authors include Nicole S. Sampson, Suzanne T. Thomas, Michael S. Glickman, Sivaranjani Namasivayam, Alan Sher, James Bean, Daniel W. Fitzgerald, Vanni Bucci, Meng Yang and Marc Antoine Jean Juste. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

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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