Todd M. Schuster

42 papers receiving 1.1k citations

Peers

Todd M. Schuster
Comparison fields: 5 of 90
  • Cell Biology 575
  • Endocrinology 81
  • Biophysics 73
  • Pediatrics, Perinatology and Child Health 204
  • Spectroscopy 191
Replace Marián Fabián with:
Marián Fabián United States
N T Yu United States
Judit Fidy Hungary
Scott C. Mohr United States
Keith B. Ward United States
Liisa Laakkonen Finland
Paola Vecchini Italy
Tadanao Ito Japan
James E. Knapp United States
Mark A. Herzik United States
Todd M. Schuster relative to Marián Fabián United States Marián Fabián's profile →
Citations per field
00.5×5.0×
Marián Fabián · 1×
Citations per year

Countries citing papers authored by Todd M. Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd M. Schuster. 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 Todd M. Schuster. The network helps show where Todd M. Schuster may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979115
2 197974
3 197770
4 196961
5 197458
6 196848
7 198148
8 196542
9 197941
10 197939
11 198539
12 198038
13 197438
14 196737
15 199634
16 196534
17 197434
18 197429
19 198229
20 199027

About Todd M. Schuster

Todd M. Schuster is a scholar working on Plant Science, Molecular Biology, Ecology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Virus Research Studies (16 papers), Hemoglobin structure and function (15 papers), Bacteriophages and microbial interactions (15 papers), Neonatal Health and Biochemistry (10 papers), Legume Nitrogen Fixing Symbiosis (8 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers), Erythrocyte Function and Pathophysiology (5 papers) and Plant and Fungal Interactions Research (4 papers). The work is most often cited by research in Cell Biology (575 citations), Endocrinology (81 citations), Biophysics (73 citations), Pediatrics, Perinatology and Child Health (204 citations) and Spectroscopy (191 citations). Todd M. Schuster has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Sanford A. Asher, Maurizio Brunori, Steven J. Shire, A. Arnone, Stephen E. O’Donnell, John S. Philo, Lamia H. Khairallah, John Toedt, G. Ilgenfritz and Larry E. Vickery. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Biopolymers, Journal of Molecular Biology and Biochemical and Biophysical Research 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.

Explore authors with similar magnitude of impact