Bryan R. Helm
Impact in
- Insect Science top 5%
- Insect and Pesticide Research
- Biophysics top 10%
Papers in
-
- Single-cell and spatial transcriptomics 5
-
- Plant and animal studies 8
- Co-authors
- Kun Huang (11 shared papers)Jie Zhang (10 shared papers)Travis S. Johnson (8 shared papers)Xiaohui Zhan (7 shared papers)Kendra J. Greenlee (7 shared papers)Zhi Han (5 shared papers)Zhi Huang (6 shared papers)Shunian Xiang (6 shared papers)
- Journals
- Journal of Insect Physiology (2 papers)Journal of Experimental Biology (1 paper)Cell Reports (1 paper)Journal of Evolutionary Biology (1 paper)Journal of Chemical Ecology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Bryan R. Helm
25 papers receiving 573 citations
Peers
Comparison fields: 5 of 69
- Insect Science 113
- Biophysics 38
- Cancer Research 89
- Ecology, Evolution, Behavior and Systematics 121
- Genetics 138
Countries citing papers authored by Bryan R. Helm
This map shows the geographic impact of Bryan R. Helm'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 Bryan R. Helm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan R. Helm more than expected).
Fields of papers citing papers by Bryan R. Helm
This network shows the impact of papers produced by Bryan R. Helm. 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 Bryan R. Helm. The network helps show where Bryan R. Helm may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan R. Helm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 174 | |
| 2 | 2019 | 95 | |
| 3 | 2020 | 60 | |
| 4 | 2017 | 40 | |
| 5 | 2017 | 24 | |
| 6 | 2011 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2013 | 23 | |
| 9 | 2018 | 19 | |
| 10 | 2014 | 18 | |
| 11 | 2021 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2015 | 7 | |
| 17 | 2019 | 4 | |
| 18 | SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer | 2019 | 4 |
| 19 | 2020 | 3 | |
| 20 | 2025 | 2 |
About Bryan R. Helm
Bryan R. Helm is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics, Immunology and Cancer Research, having authored 26 papers that have together received 578 indexed citations. Recurring topics across this work include Plant and animal studies (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (4 papers), Insect and Pesticide Research (4 papers), Neurobiology and Insect Physiology Research (4 papers), Physiological and biochemical adaptations (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Insect Science (113 citations), Biophysics (38 citations), Cancer Research (89 citations), Ecology, Evolution, Behavior and Systematics (121 citations) and Genetics (138 citations). Bryan R. Helm has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kun Huang, Jie Zhang, Travis S. Johnson, Xiaohui Zhan, Kendra J. Greenlee, Zhi Han, Zhi Huang, Shunian Xiang, Maher Rizkalla and Julia H. Bowsher. Their work appears in journals such as Journal of Insect Physiology, Journal of Experimental Biology, Cell Reports, Journal of Evolutionary Biology and Journal of Chemical Ecology.
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.