Bryan R. Helm

899 total citations
25 papers, 563 citations indexed

About

Bryan R. Helm is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Bryan R. Helm has authored 25 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Genetics. Recurrent topics in Bryan R. Helm's work include Plant and animal studies (8 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Single-cell and spatial transcriptomics (5 papers). Bryan R. Helm is often cited by papers focused on Plant and animal studies (8 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Single-cell and spatial transcriptomics (5 papers). Bryan R. Helm collaborates with scholars based in United States, China and United Kingdom. Bryan R. Helm's co-authors include Kun Huang, Jie Zhang, Travis S. Johnson, Kendra J. Greenlee, Xiaohui Zhan, Zhi Han, Zhi Huang, Shunian Xiang, Julia H. Bowsher and Maher Rizkalla and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Scientific Reports.

In The Last Decade

Bryan R. Helm

22 papers receiving 558 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bryan R. Helm United States 11 264 140 123 113 108 25 563
Zhiyuan Sun China 11 404 1.5× 166 1.2× 65 0.5× 178 1.6× 112 1.0× 17 795
Viktor Achter Germany 5 144 0.5× 123 0.9× 115 0.9× 32 0.3× 42 0.4× 10 427
Tamsin E. M. Jones United Kingdom 11 624 2.4× 179 1.3× 18 0.1× 20 0.2× 150 1.4× 14 912
Anastasia Samsonova Russia 17 847 3.2× 108 0.8× 30 0.2× 21 0.2× 207 1.9× 48 1.1k
Kahn Rhrissorrakrai United States 11 226 0.9× 66 0.5× 48 0.4× 20 0.2× 49 0.5× 28 428
Sara Kuntz Germany 6 53 0.2× 39 0.3× 30 0.2× 11 0.1× 29 0.3× 7 303
Richard J. Sové United States 11 138 0.5× 50 0.4× 32 0.3× 35 0.3× 77 0.7× 17 447
James Cotterell Spain 12 564 2.1× 164 1.2× 24 0.2× 12 0.1× 19 0.2× 16 778
Chien‐Yueh Lee Taiwan 11 475 1.8× 103 0.7× 34 0.3× 61 0.5× 336 3.1× 20 699
Maxine Allen United Kingdom 15 709 2.7× 312 2.2× 48 0.4× 9 0.1× 56 0.5× 22 964

Countries citing papers authored by Bryan R. Helm

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bryan R. Helm

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

All Works

20 of 20 papers shown
1.
Moore, Colin E., Seungwoo Kang, Bryan R. Helm, et al.. (2025). Coordinated changes in stromal and hematopoietic cells that define the perinatal to juvenile transition in the mouse thymus. Cell Reports. 44(12). 116677–116677.
2.
Kang, Seungwoo, Bryan R. Helm, Zhifeng Yu, et al.. (2025). Insulin-like growth factor 2 as a driving force for exponential expansion and differentiation of the neonatal thymus. Development. 152(7). 1 indexed citations
3.
4.
Johnson, Travis S., Shunian Xiang, Bryan R. Helm, et al.. (2020). Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing. PMC.
5.
Huang, Zhi, Travis S. Johnson, Bryan R. Helm, et al.. (2020). Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations. PMC. 3 indexed citations
6.
Huang, Zhi, Travis S. Johnson, Zhi Han, et al.. (2020). Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations. BMC Medical Genomics. 13(S5). 41–41. 59 indexed citations
7.
Johnson, Travis S., Shunian Xiang, Bryan R. Helm, et al.. (2020). Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing. Scientific Reports. 10(1). 18014–18014. 10 indexed citations
8.
Zhan, Xiaohui, Jun Cheng, Zhi Huang, et al.. (2019). Correlation Analysis of Histopathology and Proteogenomics Data for Breast Cancer. PMC. 1 indexed citations
9.
Huang, Zhi, Xiaohui Zhan, Shunian Xiang, et al.. (2019). SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer. PMC. 4 indexed citations
10.
11.
Wang, Tongxin, Travis S. Johnson, Wei Shao, et al.. (2019). BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes. Genome biology. 20(1). 165–165. 95 indexed citations
12.
Huang, Zhi, Xiaohui Zhan, Shunian Xiang, et al.. (2019). SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer. Frontiers in Genetics. 10. 166–166. 170 indexed citations
13.
Royauté, Raphaël, Bryan R. Helm, Rachel E. Mallinger, et al.. (2018). Phenotypic integration in an extended phenotype: among‐individual variation in nest‐building traits of the alfalfa leafcutting bee (Megachile rotundata). Journal of Evolutionary Biology. 31(7). 944–956. 9 indexed citations
14.
Helm, Bryan R., Scott Payne, Joseph P. Rinehart, et al.. (2018). Micro-computed tomography of pupal metamorphosis in the solitary bee Megachile rotundata. Arthropod Structure & Development. 47(5). 521–528. 19 indexed citations
15.
Pitts‐Singer, Theresa L., et al.. (2017). Comparison of the Chemical Compositions of the Cuticle and Dufour’s Gland of Two Solitary Bee Species from Laboratory and Field Conditions. Journal of Chemical Ecology. 43(5). 451–468. 11 indexed citations
16.
Helm, Bryan R. & Goggy Davidowitz. (2015). Evidence of a hemolymph-born factor that induces onset of maturation in Manduca sexta larvae. Journal of Insect Physiology. 78. 78–86. 7 indexed citations
17.
Rinehart, Joseph P., George D. Yocum, Kendra J. Greenlee, et al.. (2014). Extended hypoxia in the alfalfa leafcutting bee, Megachile rotundata, increases survival but causes sub-lethal effects. Journal of Insect Physiology. 64. 81–89. 18 indexed citations
18.
Greenlee, Kendra J., Kristi L. Montooth, & Bryan R. Helm. (2014). Predicting Performance and Plasticity in the Development of Respiratory Structures and Metabolic Systems. Integrative and Comparative Biology. 54(2). 307–322. 9 indexed citations
19.
Helm, Bryan R. & Goggy Davidowitz. (2013). Mass and volume growth of larval insect tracheal system within a single instar. Journal of Experimental Biology. 216(Pt 24). 4703–11. 23 indexed citations
20.
Couvillon, Margaret J., et al.. (2011). Percent lipid is associated with body size but not task in the bumble bee Bombus impatiens. Journal of Comparative Physiology A. 197(11). 1097–1104. 24 indexed citations

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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