Coleman Broaddus

1.5k citations
3 papers · 75 indexed · h-index 3
Topics
Cell Image Analysis Techniques (2 papers)Single-cell and spatial transcriptomics (2 papers)Zebrafish Biomedical Research Applications (1 paper)
Journals
DevelopmentMethods in molecular biologyInfoscience (Ecole Polytechnique Fédérale de Lausanne)
Partner nations
GermanySwitzerland

In The Last Decade

Coleman Broaddus

3 papers receiving 75 citations

Peers

Coleman Broaddus
Comparison fields: 5 of 40
  • Molecular Biology 31
  • Computer Vision and Pattern Recognition 24
  • Biophysics 16
  • Geophysics 12
  • Biomedical Engineering 9
Replace Kaveri A. Thakoor with:
Kaveri A. Thakoor United States
José L. Rubio-Guivernau Spain
Denis Fenistein South Korea
Dennis Eschweiler Germany
L. Clissa Italy
Pavel Karas Czechia
Tianyuan Yao United States
Huidong Xie United States
Steffen Wolf Germany
Ardhendu Shekhar Tripathi Switzerland
Coleman Broaddus relative to Kaveri A. Thakoor United States Kaveri A. Thakoor's profile →
Citations per field
00.5×
Kaveri A. Thakoor · 1×
Citations per year

Countries citing papers authored by Coleman Broaddus

Since Specialization
Citations

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

Fields of papers citing papers by Coleman Broaddus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Coleman Broaddus

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

All Works

About Coleman Broaddus

Coleman Broaddus is a scholar working on Biophysics, Media Technology and Cell Biology, having authored 3 papers that have together received 75 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers) and Zebrafish Biomedical Research Applications (1 paper). The work is most often cited by research in Biophysics (16 citations), Computer Vision and Pattern Recognition (24 citations) and Aging (2 citations). Coleman Broaddus has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Alexander Krull, Uwe Schmidt, Gene Myers, Martin Weigert, L. Carine Stapel, Nadine L. Vastenhouw, Dagmar Kainmueller, Eugene W. Myers, Benoît Lombardot and Florian Jug. Their work appears in journals such as Development, Methods in molecular biology and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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