Matthew P. Hoffman

8.9k citations
82 papers · 5.8k indexed · 1 hit paper · h-index 45

Impact in

Papers in

Matthew P. Hoffman

81 papers receiving 5.8k citations

Hit Papers

TRPA1 is a candidate for the mechanosensitive transduction channel of vertebrate hair cells 2004 · 550 citations
5502004202620112018100200300400500

Peers

Matthew P. Hoffman
Comparison fields: 5 of 131
  • Immunology and Allergy 789
  • Sensory Systems 468
  • Cell Biology 1.6k
  • Physiology 1.6k
  • Genetics 521
Replace Kathryn S.E. Cheah with:
Kathryn S.E. Cheah Hong Kong
Akemi Ishida‐Yamamoto Japan
Michele De Luca Italy
Shin‐Ichi Nishikawa Japan
Keith R. Johnson United States
H. Amalia Pasolli United States
Takahiro Kunisada Japan
Winston W.‐Y. Kao United States
Shiro Ikegawa Japan
Daniel H. Cohn United States
Matthew P. Hoffman relative to Kathryn S.E. Cheah Hong Kong Kathryn S.E. Cheah's profile →
Citations per field
00.5×5.6×
Kathryn S.E. Cheah · 1×
Citations per year

Countries citing papers authored by Matthew P. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew P. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew P. Hoffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew P. Hoffman Line = papers co-authored together Matthew P. Hoffman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 202316
4 202281
5 20218
6 201527
7 201517
8 201468
9 2013151
10 2013113
11 201160
12 2010248
13 2009149
14 2009108
15 200887
16 200792
17 200320
18 200374
19 200016
20 1998164

About Matthew P. Hoffman

Matthew P. Hoffman is a scholar working on Immunology and Allergy, Cell Biology, Physiology, Genetics and Molecular Biology, having authored 82 papers that have together received 5.8k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (25 papers), Salivary Gland Disorders and Functions (21 papers), Fibroblast Growth Factor Research (20 papers), Cell Adhesion Molecules Research (19 papers), dental development and anomalies (10 papers), Glycosylation and Glycoproteins Research (7 papers), Neonatal Respiratory Health Research (7 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Immunology and Allergy (789 citations), Sensory Systems (468 citations), Cell Biology (1.6k citations), Physiology (1.6k citations) and Genetics (521 citations). Matthew P. Hoffman has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Hynda K. Kleinman, Vaishali Patel, Ivan T. Rebustini, Isabelle M.A. Lombaert, Deborah Philp, Sarah M. Knox, Melinda Larsen, Motoyoshi Nomizu, Yoshihiko Yamada and Zachary L. Steinberg. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, Developmental Cell, Development and Nature Communications.

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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