Matthew Schultz

1.3k total citations
45 papers, 870 citations indexed

About

Matthew Schultz is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Matthew Schultz has authored 45 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Physiology and 9 papers in Surgery. Recurrent topics in Matthew Schultz's work include Glycosylation and Glycoproteins Research (11 papers), Lysosomal Storage Disorders Research (7 papers) and Metabolism and Genetic Disorders (6 papers). Matthew Schultz is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Lysosomal Storage Disorders Research (7 papers) and Metabolism and Genetic Disorders (6 papers). Matthew Schultz collaborates with scholars based in United States, Canada and India. Matthew Schultz's co-authors include Susan L. Bellis, Amanda F. Swindall, Donald J. Buchsbaum, Charles N. Landen, Angelina I. Londoño-Joshi, Naomi Fineberg, Jennifer Bain, Bonnie K. Culpepper, Steven J. Thomas and John W. Wright and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Matthew Schultz

33 papers receiving 860 citations

Peers

Matthew Schultz
Comparison fields: 5 of 100
  • Molecular Biology 619
  • Immunology 291
  • Oncology 139
  • Cell Biology 118
  • Organic Chemistry 101
Jonathan Rios‐Doria United States
Elaine Tan United States
Ahmad Fawzi Hussain Germany
Nina Kokkonen Finland
Becky Slagle‐Webb United States
Saran Kumar India
Keren Ziv Israel
Sonja Schelhaas Germany
R. Gabathuler Canada
Misato Takigahira Japan
Jonathan Rios‐Doria United States View profile →
Citations per field, relative to Matthew Schultz
Matthew Schultz · 1×
Citations per year, relative to Matthew Schultz
Matthew Schultz · 1×

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-authorship network of co-authors of Matthew Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Schultz. A scholar is included among the top collaborators of Matthew Schultz 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 Schultz. Matthew Schultz 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
# Work Indexed citations
1 0
2 1
3 0
4 1
5 2
6 0
7 1
8 6
9 3
10 1
11 3
12 5
13 23
14 2
15 61
16 49
17 128
18 99
19 254
20 7

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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