Michael A. Langston

7.6k citations
182 papers · 4.3k · 2 hit papers · h-index 33

Impact in

Papers in

Michael A. Langston

170 papers receiving 4.0k citations

Michael A. Langston's Hit Papers

Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs) 2024 · 44 citations
440+7+14Years since publication100200300400500

Peers

Michael A. Langston
Comparison fields: 5 of 175
  • Computational Theory and Mathematics 899
  • Industrial and Manufacturing Engineering 407
  • Discrete Mathematics and Combinatorics 118
  • Computer Networks and Communications 610
  • Computer Graphics and Computer-Aided Design 76
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Countries citing papers authored by Michael A. Langston

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Langston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Langston. 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 Michael A. Langston. The network helps show where Michael A. Langston may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function
Hit paper breakdown →
2005557
2 2006324
3 2016184
4 1986154
5 2014126
6 2014118
7 1988102
8 201192
9 200679
10 198274
11
Kernelization Algorithms for the Vertex Cover Problem: Theory and Experiments.
200470
12 200968
13 201267
14 201462
15 198754
16 200554
17 201252
18 198951
19 201249
20 198749

About Michael A. Langston

Michael A. Langston is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 182 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (28 papers), Bioinformatics and Genomic Networks (26 papers), Complexity and Algorithms in Graphs (23 papers), Gene expression and cancer classification (22 papers), Scheduling and Optimization Algorithms (14 papers), Optimization and Packing Problems (13 papers), Algorithms and Data Compression (13 papers) and Gene Regulatory Network Analysis (12 papers). The work is most often cited by research in Computational Theory and Mathematics (899 citations), Industrial and Manufacturing Engineering (407 citations), Discrete Mathematics and Combinatorics (118 citations), Computer Networks and Communications (610 citations) and Computer Graphics and Computer-Aided Design (76 citations). Michael A. Langston has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Michael R. Fellows, Elissa J. Chesler, Donald K. Friesen, Erich J. Baker, Nagiza F. Samatova, Charles Phillips, Andy Perkins, Faisal N. Abu-Khzam, Nicole Baldwin and Jason A. Bubier. Their work appears in journals such as BMC Bioinformatics, International Journal of Environmental Research and Public Health, Discrete Applied Mathematics, PLoS ONE and The Computer Journal.

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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