Matthew Schultz

36 papers receiving 915 citations

Peers

Matthew Schultz
Comparison fields: 5 of 102
  • Immunology 265
  • Molecular Biology 634
  • Biotechnology 68
  • Rehabilitation 44
  • Cell Biology 116
Replace Annamari Heiskanen with:
Annamari Heiskanen Finland
Tero Satomaa Finland
Shihong Zhao China
Ping Long China
Steven D. Mason United States
Michelle Burrows United States
Yamina Hamma‐Kourbali France
Cristina Vaschieri Italy
James E. Bear United States
Peter J. Reddig United States
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Citations per field
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Annamari Heiskanen · 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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012263
2 2016136
3 2013136
4 2013102
5 201565
6 201455
7 201729
8 202029
9 201912
10 199010
11 20059
12 20209
13 20209
14 20238
15 20238
16 20207
17 20227
18 20207
19
Rehabilitation of seasonally dry ‘ōhi‘a woodlands and mesic koa forest following the Broomsedge Fire, Hawaii Volcanoes National Park
20074
20 20233

About Matthew Schultz

Matthew Schultz is a scholar working on Molecular Biology, Surgery, Physiology, Clinical Biochemistry and Immunology, having authored 48 papers that have together received 930 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Lysosomal Storage Disorders Research (6 papers), Metabolism and Genetic Disorders (5 papers), Galectins and Cancer Biology (3 papers), Cancer Cells and Metastasis (3 papers), Mitochondrial Function and Pathology (3 papers), Cancer Research and Treatments (3 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Immunology (265 citations), Molecular Biology (634 citations), Biotechnology (68 citations), Rehabilitation (44 citations) and Cell Biology (116 citations). Matthew Schultz has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Susan L. Bellis, Amanda F. Swindall, Donald J. Buchsbaum, Charles N. Landen, Naomi Fineberg, Angelina I. Londoño-Joshi, Steven J. Thomas, Jennifer Bain, Bonnie K. Culpepper and John W. Wright. Their work appears in journals such as Cancer Research, Molecular Genetics and Metabolism, Genetics in Medicine, Educational Measurement Issues and Practice and Cancer and Metastasis Reviews.

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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