Matthew Schultz

33 papers receiving 860 citations

Peers

Matthew Schultz
Comparison fields: 5 of 100
  • Immunology 291
  • Molecular Biology 619
  • Biotechnology 73
  • Cell Biology 118
  • Biomaterials 93
Replace Shihong Zhao with:
Shihong Zhao China
Ping Long China
Jasmin Taubenschmid Austria
Steven D. Mason United States
James E. Bear United States
Camille L. Duran United States
Peter J. Reddig United States
Szu‐Hua Pan Taiwan
Yashira L. Negrón Abril United States
Esra Güç United States
Matthew Schultz relative to Shihong Zhao China Shihong Zhao's profile →
Citations per field
00.5×2.9×
Shihong Zhao · 1×
Citations per year

Countries citing papers authored by Matthew Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Schultz, 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 Schultz Line = papers co-authored together Matthew Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012254
2 2013128
3 2016128
4 201399
5 201561
6 201449
7 201729
8 202023
9 201911
10 20209
11 20238
12 20058
13 20207
14 20207
15 19907
16 20227
17 20236
18 20205
19
Rehabilitation of seasonally dry ‘ōhi‘a woodlands and mesic koa forest following the Broomsedge Fire, Hawaii Volcanoes National Park
20074
20 20223

About Matthew Schultz

Matthew Schultz is a scholar working on Molecular Biology, Physiology, Surgery, Clinical Biochemistry and Genetics, having authored 45 papers that have together received 870 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Lysosomal Storage Disorders Research (7 papers), Metabolism and Genetic Disorders (6 papers), Galectins and Cancer Biology (4 papers), Cancer Research and Treatments (4 papers), Cancer Cells and Metastasis (3 papers), Musculoskeletal pain and rehabilitation (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). The work is most often cited by research in Immunology (291 citations), Molecular Biology (619 citations), Biotechnology (73 citations), Cell Biology (118 citations) and Biomaterials (93 citations). Matthew Schultz has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Susan L. Bellis, Amanda F. Swindall, Donald J. Buchsbaum, Charles N. Landen, Naomi Fineberg, Angelina I. Londoño-Joshi, Elizabeth Sztul, John W. Wright, Jennifer Bain and Steven J. Thomas. Their work appears in journals such as Cancer Research, Molecular Genetics and Metabolism, Genetics in Medicine, Analytical and Bioanalytical Chemistry and World Neurosurgery.

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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