Matthew D. Schroeder

791 citations
12 papers · 665 indexed · h-index 10
Topics
Protein Tyrosine Phosphatases (5 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Animal Genetics and Reproduction (3 papers)
Partner nations
United States

In The Last Decade

Matthew D. Schroeder

12 papers receiving 657 citations

Peers

Matthew D. Schroeder
Comparison fields: 5 of 67
  • Molecular Biology 390
  • Oncology 310
  • Genetics 207
  • Endocrinology, Diabetes and Metabolism 188
  • Cancer Research 93
Replace Michal Shoshkes-Carmel with:
Michal Shoshkes-Carmel Israel
Kenichiro Furuyama Japan
Aparna Gupta United States
Tina Di Palma Italy
Daisong Wang China
Johanna Sandgren Sweden
Lynn M. Kozma United States
M Zannini Italy
Stephen C. Jefcoat United States
Sheng‐Ben Liang Japan
Matthew D. Schroeder relative to Michal Shoshkes-Carmel Israel Michal Shoshkes-Carmel's profile →
Citations per field
00.5×1.5×2.0×
Michal Shoshkes-Carmel · 1×
Citations per year

Countries citing papers authored by Matthew D. Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Schroeder

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 115
2 18
3 40
4 154
5 43
6 143
7 77
8 11
9 3
10 45
11 7
12 9

About Matthew D. Schroeder

Matthew D. Schroeder is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 12 papers that have together received 665 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Oncology (310 citations), Endocrinology, Diabetes and Metabolism (188 citations) and Aging (13 citations). Matthew D. Schroeder has collaborated with scholars based in United States. Frequent co-authors include Linda A. Schuler, Jennifer L. Brockman, Teresa A. Rose-Hellekant, Eric P. Sandgren, Chanthia Ma, Joseph T. Rodgers, Thomas A. Rando, Kennedy W. Gilchrist, Lisa M. Arendt and Jaime Symowicz. Their work appears in journals such as Biochemistry, Oncogene and Endocrinology.

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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