William Broomall

413 total citations
13 papers, 327 citations indexed

About

William Broomall is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, William Broomall has authored 13 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Artificial Intelligence. Recurrent topics in William Broomall's work include Bioinformatics and Genomic Networks (9 papers), Machine Learning in Bioinformatics (5 papers) and Genomics and Phylogenetic Studies (5 papers). William Broomall is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Machine Learning in Bioinformatics (5 papers) and Genomics and Phylogenetic Studies (5 papers). William Broomall collaborates with scholars based in United States, Mexico and Israel. William Broomall's co-authors include Natali Kolker, Roger Higdon, Eugene Kolker, Larissa Stanberry, Winston Haynes, Doron Lancet, Elizabeth Stewart, Rachel K. Earl, Caitlin M. Hudac and Raphael Bernier and has published in prestigious journals such as Nucleic Acids Research, Journal of Proteome Research and Journal of Proteomics.

In The Last Decade

William Broomall

13 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Broomall United States 8 217 50 49 26 20 13 327
Natali Kolker United States 14 379 1.7× 63 1.3× 155 3.2× 35 1.3× 23 1.1× 27 576
Prisca Lo Surdo Italy 8 255 1.2× 30 0.6× 21 0.4× 10 0.4× 8 0.4× 12 340
Kristoffer Rapacki Denmark 4 309 1.4× 58 1.2× 20 0.4× 7 0.3× 8 0.4× 6 413
Sabry Razick Norway 6 577 2.7× 55 1.1× 46 0.9× 5 0.2× 18 0.9× 10 649
Phani Garapati United Kingdom 3 570 2.6× 81 1.6× 41 0.8× 5 0.2× 17 0.8× 4 698
Matteo Bersanelli Italy 8 337 1.6× 64 1.3× 9 0.2× 16 0.6× 21 1.1× 11 445
Alberto Calderone Italy 12 521 2.4× 41 0.8× 43 0.9× 4 0.2× 14 0.7× 16 635
Timothy Sheils United States 9 222 1.0× 30 0.6× 16 0.3× 4 0.2× 11 0.6× 12 313
Victoria Petri United States 15 543 2.5× 156 3.1× 12 0.2× 5 0.2× 27 1.4× 26 689
Z. Hu United States 4 341 1.6× 35 0.7× 8 0.2× 6 0.2× 9 0.5× 7 415

Countries citing papers authored by William Broomall

Since Specialization
Citations

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

Fields of papers citing papers by William Broomall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Broomall

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

All Works

13 of 13 papers shown
1.
Higdon, Roger, Rachel K. Earl, Larissa Stanberry, et al.. (2015). The Promise of Multi-Omics and Clinical Data Integration to Identify and Target Personalized Healthcare Approaches in Autism Spectrum Disorders. OMICS A Journal of Integrative Biology. 19(4). 197–208. 71 indexed citations
2.
Kolker, Eugene, Roger Higdon, Elizabeth Stewart, et al.. (2015). Finding Text-Supported Gene-to-Disease Co-appearances with MOPED-Digger. OMICS A Journal of Integrative Biology. 19(12). 754–756. 3 indexed citations
3.
Stanberry, Larissa, Elaine Lee, Elizabeth Stewart, et al.. (2014). Beyond protein expression, MOPED goes multi-omics. Nucleic Acids Research. 43(D1). D1145–D1151. 15 indexed citations
4.
Stanberry, Larissa, Roger Higdon, Elaine Lee, et al.. (2014). MOPED 2.5—An Integrated Multi-Omics Resource: Multi-Omics Profiling Expression Database Now Includes Transcriptomics Data. OMICS A Journal of Integrative Biology. 18(6). 335–343. 44 indexed citations
5.
Stanberry, Larissa, Bhanu Rekepalli, Yuan Liu, et al.. (2014). Optimizing high performance computing workflow for protein functional annotation. Concurrency and Computation Practice and Experience. 26(13). 2112–2121. 3 indexed citations
6.
Higdon, Roger, Larissa Stanberry, Winston Haynes, et al.. (2013). MOPED Enables Discoveries through Consistently Processed Proteomics Data. Journal of Proteome Research. 13(1). 107–113. 17 indexed citations
7.
Stanberry, Larissa, et al.. (2013). High performance computing workflow for protein functional annotation. 1–6. 1 indexed citations
8.
Stanberry, Larissa, Roger Higdon, Winston Haynes, et al.. (2013). Visualizing the Protein Sequence Universe. Concurrency and Computation Practice and Experience. 26(6). 1313–1325. 4 indexed citations
9.
Higdon, Roger, Winston Haynes, Larissa Stanberry, et al.. (2012). Unraveling the Complexities of Life Sciences Data. Big Data. 1(1). 42–50. 34 indexed citations
10.
Stanberry, Larissa, Roger Higdon, Winston Haynes, et al.. (2012). Visualizing the protein sequence universe. 13–22. 3 indexed citations
11.
Kolker, Eugene, Roger Higdon, Winston Haynes, et al.. (2011). MOPED: Model Organism Protein Expression Database. Nucleic Acids Research. 40(D1). D1093–D1099. 96 indexed citations
12.
Kolker, Eugene, et al.. (2011). SPIRE: Systematic protein investigative research environment. Journal of Proteomics. 75(1). 122–126. 24 indexed citations
13.
Kolker, Natali, Roger Higdon, William Broomall, et al.. (2011). Classifying Proteins into Functional Groups Based on All-versus-All BLAST of 10 Million Proteins. OMICS A Journal of Integrative Biology. 15(7-8). 513–521. 12 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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