Michael A. Langston

7.5k total citations · 1 hit paper
182 papers, 4.2k citations indexed

About

Michael A. Langston is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Michael A. Langston has authored 182 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 43 papers in Computational Theory and Mathematics and 34 papers in Computer Networks and Communications. Recurrent topics in Michael A. Langston's work include Bioinformatics and Genomic Networks (37 papers), Advanced Graph Theory Research (28 papers) and Gene expression and cancer classification (27 papers). Michael A. Langston is often cited by papers focused on Bioinformatics and Genomic Networks (37 papers), Advanced Graph Theory Research (28 papers) and Gene expression and cancer classification (27 papers). Michael A. Langston collaborates with scholars based in United States, Sweden and Canada. Michael A. Langston's co-authors include Michael R. Fellows, Elissa J. Chesler, Donald K. Friesen, Erich J. Baker, Nagiza F. Samatova, Andy Perkins, Charles Phillips, Nicole Baldwin, Faisal N. Abu-Khzam and Robert W. Williams and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Michael A. Langston

169 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function

2005 556 citations Elissa J. Chesler, Michael A. Langston et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael A. Langston United States	33	1.5k	906	609	549	406	182	4.2k
Minghao Yin China	41	1.5k 1.0×	1.1k 1.2×	596 1.0×	249 0.5×	642 1.6×	442	6.5k
Murali Ramanathan United States	46	2.0k 1.3×	365 0.4×	261 0.4×	248 0.5×	40 0.1×	317	7.5k
Francisco Azuaje United Kingdom	33	2.5k 1.7×	491 0.5×	180 0.3×	170 0.3×	69 0.2×	146	5.6k
Eran Halperin United States	42	3.1k 2.1×	502 0.6×	535 0.9×	2.8k 5.1×	56 0.1×	147	7.7k
John McCarthy United States	29	651 0.4×	821 0.9×	511 0.8×	313 0.6×	35 0.1×	97	4.0k
Kwang‐Hyun Cho South Korea	40	3.0k 2.0×	571 0.6×	245 0.4×	318 0.6×	53 0.1×	252	4.9k
Mario Giacobini Italy	42	2.4k 1.6×	776 0.9×	70 0.1×	277 0.5×	45 0.1×	223	6.2k
Yang‐Yu Liu United States	39	2.9k 2.0×	477 0.5×	2.0k 3.3×	402 0.7×	29 0.1×	130	7.6k
Ming‐Tat Ko Taiwan	15	3.0k 2.0×	474 0.5×	143 0.2×	327 0.6×	24 0.1×	48	6.3k
Long Lu United States	41	2.0k 1.4×	361 0.4×	642 1.1×	232 0.4×	11 0.0×	140	5.2k

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-authorship network of co-authors of Michael A. Langston

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

All Works

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20 of 20 papers shown

Langston, Michael A., et al.. (2024). A Comparative Study of Gene Co-Expression Thresholding Algorithms. Journal of Computational Biology. 31(6). 539–548.

Harville, Emily W., Maeve Wallace, Dovile Vilda, et al.. (2023). Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis. Environmental Health Perspectives. 131(12). 124201–124201. 6 indexed citations

Valdez, R. Burciaga, Mohammad Z. Al‐Hamdan, Mohammad Tabatabai, et al.. (2021). Association of Cardiovascular Disease and Long-Term Exposure to Fine Particulate Matter (PM2.5) in the Southeastern United States. Atmosphere. 12(8). 947–947. 11 indexed citations

Macartney‐Coxson, Donia, Kirsty Danielson, Jane Clapham, et al.. (2020). MicroRNA Profiling in Adipose Before and After Weight Loss Highlights the Role of miR‐223‐3p and the NLRP3 Inflammasome. Obesity. 28(3). 570–580. 13 indexed citations

Donneyong, Macarius, John E. Jackson, Michael A. Langston, et al.. (2020). Structural and Social Determinants of Health Factors Associated with County-Level Variation in Non-Adherence to Antihypertensive Medication Treatment. International Journal of Environmental Research and Public Health. 17(18). 6684–6684. 16 indexed citations

Macartney‐Coxson, Donia, et al.. (2017). Genome-wide DNA methylation analysis reveals loci that distinguish different types of adipose tissue in obese individuals. Clinical Epigenetics. 9(1). 27 indexed citations

Gittner, Lisaann S., et al.. (2017). A multifactorial obesity model developed from nationwide public health exposome data and modern computational analyses. Obesity Research & Clinical Practice. 11(5). 522–533. 17 indexed citations

Juárez, Paul D., Darryl B. Hood, Gary L. Rogers, et al.. (2017). A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain.. PubMed Central. 2(2). 33–44. 13 indexed citations

Phillips, Charles, Jeremy J. Jay, Erich J. Baker, Elissa J. Chesler, & Michael A. Langston. (2012). On Bipartite Graph Decomposition in the Presence of Noise, with Applications to Biological Data Clustering.. 215–219. 1 indexed citations

10.

Abu-Khzam, Faisal N., et al.. (2010). A fixed-parameter algorithm for string-to-string correction. 31–38. 1 indexed citations

11.

Clermont, Gilles, Charles Auffray, Yves Moreau, et al.. (2009). Translating systems biology into medical applications : Report of the 3rd Bertinoro Systems Biology Workshop. Genome biology. 2 indexed citations

12.

Langston, Michael A., et al.. (2006). The Cluster Editing Problem: Implementations And Experiments. Carleton University's Institutional Repository (MacOdrum Library, Carleton University). 3 indexed citations

13.

Bodlaender, Hans L., et al.. (2006). Parameterized and Exact Computation : Second International Workshop, IWPEC 2006, Zürich, Switzerland, September 13-15, 2006 : proceedings. Springer eBooks. 1 indexed citations

14.

Abu-Khzam, Faisal N., et al.. (2004). Scalable parallel algorithms for difficult combinatorial problems: A case study in optimization.. 649–654. 11 indexed citations

15.

Abu-Khzam, Faisal N., et al.. (2002). On special-purpose hardware clusters for high-performance computational grids. 1–5. 3 indexed citations

16.

Abu-Khzam, Faisal N., Nagiza F. Samatova, George Ostrouchov, Michael A. Langston, & Al Geist. (2002). Distributed Dimension Reduction Algorithms for Widely Dispersed Data.. 167–174. 6 indexed citations

17.

Langston, Michael A., et al.. (2001). Automatic Mapping of Multiple Applications to Multiple Adaptive Computing Systems. 10–20. 13 indexed citations

18.

Focht, Will, et al.. (2001). INFORMING POLICYMAKING WITH CONCEPT MAPPING. 10(2). 157–178. 1 indexed citations

19.

Fellows, Michael R. & Michael A. Langston. (1989). An Analogue of the Myhill-Nerode Theorem and Its Use in Computing Finite-Basis Characterizations (Extended Abstract). 520–525. 7 indexed citations

20.

Langston, Michael A., et al.. (1987). Practical in-place merging. 376–380. 1 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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