Cullen Roth

530 citations
15 papers · 300 · h-index 8

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Fungal Infections and Studies

Papers in

Cullen Roth

13 papers receiving 297 citations

Peers

Cullen Roth
Comparison fields: 5 of 51
  • Hematology 84
  • Epidemiology 69
  • Genetics 22
  • Infectious Diseases 38
  • Molecular Biology 145
Replace Katerina D. Popova with:
Katerina D. Popova United States
Tanmoy Roychowdhury India
Edvard Wigren Sweden
Eric R. Kalkman United Kingdom
Martina Baumgartner Austria
Grégoire Cullot Switzerland
Seung-Hwan Lee South Korea
Gesa Hoffmann Sweden
Peter Reinink Netherlands
Priscillia Siswara United States
Cullen Roth relative to Katerina D. Popova United States Katerina D. Popova's profile →
Citations per field
00.5×
Katerina D. Popova · 1×
Citations per year

Countries citing papers authored by Cullen Roth

Since Specialization
Citations

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

Fields of papers citing papers by Cullen Roth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016139
2 202335
3 202227
4 201827
5 201323
6 202111
7 201510
8 20238
9 20227
10 20247
11 20234
12 20251
13 20241
14 20250
15 20250

About Cullen Roth

Cullen Roth is a scholar working on Molecular Biology, Epidemiology, Plant Science, Infectious Diseases and Cognitive Neuroscience, having authored 15 papers that have together received 300 indexed citations. Recurring topics across this work include Fungal Infections and Studies (6 papers), Genomics and Chromatin Dynamics (4 papers), Antifungal resistance and susceptibility (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Yeasts and Rust Fungi Studies (2 papers), Plant Virus Research Studies (2 papers), Acute Myeloid Leukemia Research (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Hematology (84 citations), Epidemiology (69 citations), Genetics (22 citations), Infectious Diseases (38 citations) and Molecular Biology (145 citations). Cullen Roth has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joseph Heitman, Paul M. Magwene, Peter Winter, Elizabeth M. Stein, Grace R. Anderson, Kris C. Wood, Kevin Lin, Colin A. Martz, Abigail Xie and Sheng Sun. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Frontiers in Human Neuroscience, Communications Biology and BMC Bioinformatics.

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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