Matthew L. Wheeler

2.1k citations
17 papers · 1.6k indexed · 2 hit papers · h-index 14
Topics
Monoclonal and Polyclonal Antibodies Research (7 papers)T-cell and B-cell Immunology (5 papers)Glycosylation and Glycoproteins Research (3 papers)

In The Last Decade

Matthew L. Wheeler

17 papers receiving 1.5k citations

Hit Papers

Hexokinase Is an Innate Immune Receptor for the Detection...201620262019202220162016100200300400

Peers

Matthew L. Wheeler
Comparison fields: 5 of 104
  • Molecular Biology 875
  • Immunology 572
  • Infectious Diseases 233
  • Epidemiology 220
  • Physiology 142
Replace Sergey S. Seregin with:
Sergey S. Seregin United States
Zbigniew Mikulski United States
Bettina L. Lee United States
Ramakrishna Sompallae United States
Richard A. Colvin United States
Stephen Rubino Canada
Christophe Chevillard France
Jenny Pan-Yun Ting United States
Eva Martini Germany
Matthew L. Wheeler relative to Sergey S. Seregin United States Sergey S. Seregin's profile →
Citations per field
00.5×1.5×
Sergey S. Seregin · 1×
Citations per year

Countries citing papers authored by Matthew L. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Matthew L. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew L. Wheeler

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 1
3 67
4 13
5 15
6 26
7 91
8
Hexokinase Is an Innate Immune Receptor for the Detection of Bacterial Peptidoglycanbreakdown →
433
9
Immunological Consequences of Intestinal Fungal Dysbiosisbreakdown →
314
10 80
11 9
12 26
13 125
14 189
15 65
16 36
17 58

About Matthew L. Wheeler

Matthew L. Wheeler is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (572 citations), Biological Psychiatry (42 citations) and Molecular Biology (875 citations). Matthew L. Wheeler has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David M. Underhill, Anthony DeFranco, Moshe Arditi, Jan Domin, Jose J. Limon, Hee Cheol Cho, K. Mark Coggeshall, Kenichi Shimada, Wenbin Liang and Andrea J. Wolf. Their work appears in journals such as Cell, Immunity and The Journal of Immunology.

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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