Max Shpak

991 total citations
41 papers, 697 citations indexed

About

Max Shpak is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Max Shpak has authored 41 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 15 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Max Shpak's work include Evolution and Genetic Dynamics (20 papers), Genetic diversity and population structure (9 papers) and Evolutionary Game Theory and Cooperation (6 papers). Max Shpak is often cited by papers focused on Evolution and Genetic Dynamics (20 papers), Genetic diversity and population structure (9 papers) and Evolutionary Game Theory and Cooperation (6 papers). Max Shpak collaborates with scholars based in United States, United Kingdom and Sweden. Max Shpak's co-authors include Alexey S. Kondrashov, Matthew C. Cowperthwaite, Nick Barton, Mark G. Burnett, Jeffrey P. Townsend, Gary A. Churchill, Günter P. Wagner, Amelia Weber Hall, Vishwanath R. Iyer and Siddhartha Das and has published in prestigious journals such as PLoS ONE, Cancer Research and Stroke.

In The Last Decade

Max Shpak

38 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Shpak United States	16	306	210	164	93	88	41	697
Bettina Ryll Sweden	11	329 1.1×	218 1.0×	119 0.7×	44 0.5×	18 0.2×	25	844
Jatupol Kampuansai Thailand	15	507 1.7×	295 1.4×	61 0.4×	30 0.3×	17 0.2×	52	757
R. Chakraborty United States	16	725 2.4×	472 2.2×	79 0.5×	77 0.8×	15 0.2×	46	1.2k
Weini Huang United Kingdom	10	211 0.7×	98 0.5×	36 0.2×	90 1.0×	154 1.8×	30	373
Karen S. King United States	9	846 2.8×	413 2.0×	28 0.2×	55 0.6×	28 0.3×	17	1.5k
Chikako Matsuba United States	16	391 1.3×	509 2.4×	137 0.8×	201 2.2×	6 0.1×	32	1.0k
Carter Denniston United States	20	755 2.5×	486 2.3×	172 1.0×	67 0.7×	47 0.5×	39	1.3k
Eran Elhaik United States	15	385 1.3×	577 2.7×	31 0.2×	74 0.8×	32 0.4×	41	1.1k
Stephan Hütter Germany	21	490 1.6×	568 2.7×	158 1.0×	103 1.1×	9 0.1×	88	1.4k
Jaime E. Bernal Colombia	21	228 0.7×	194 0.9×	139 0.8×	8 0.1×	20 0.2×	95	1.1k

Countries citing papers authored by Max Shpak

Since Specialization

Citations

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

Fields of papers citing papers by Max Shpak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Shpak

This figure shows the co-authorship network connecting the top 25 collaborators of Max Shpak. A scholar is included among the top collaborators of Max Shpak 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 Max Shpak. Max Shpak 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

Shpak, Max, et al.. (2025). The Precision and Power of Population Branch Statistics in Identifying the Genomic Signatures of Local Adaptation. Genome Biology and Evolution. 17(5). 1 indexed citations

Castrejón-Téllez, Vicente, et al.. (2020). The N-terminal tail of the glycine transporter: role in transporter phosphorylation.. Medical Research Archives. 8(5). 2 indexed citations

Theofilatos, Konstantinos, et al.. (2019). Discovery of stroke-related blood biomarkers from gene expression network models. BMC Medical Genomics. 12(1). 118–118. 22 indexed citations

Shpak, Max, et al.. (2019). Driving stroke quality improvement at scale in EDs across a nationwide network of hospitals: strategies and interventions. Emergency Medicine Journal. 36(7). 423–430.

Hall, Amelia Weber, Anna Battenhouse, Haridha Shivram, et al.. (2018). Bivalent Chromatin Domains in Glioblastoma Reveal a Subtype-Specific Signature of Glioma Stem Cells. Cancer Research. 78(10). 2463–2474. 34 indexed citations

Shpak, Max, Yang Ni, Jie Lü, & Peter Müller. (2017). Variance in estimated pairwise genetic distance under high versus low coverage sequencing: The contribution of linkage disequilibrium. Theoretical Population Biology. 117. 51–63. 4 indexed citations

Cowperthwaite, Matthew C., et al.. (2016). Molecular Predictors of Long-Term Survival in Glioblastoma Multiforme Patients. PLoS ONE. 11(4). e0154313–e0154313. 50 indexed citations

Burnett, Mark G., et al.. (2016). A Comparative Study of the Molecular Characteristics of Familial Gliomas and Other Cancers. Cancer Genomics & Proteomics. 13(6). 467–474. 6 indexed citations

Shpak, Max, et al.. (2015). Rapid and convergent evolution in the Glioblastoma multiforme genome. Genomics. 105(3). 159–167. 6 indexed citations

10.

Shpak, Max, et al.. (2014). An eQTL analysis of the human glioblastoma multiforme genome. Genomics. 103(4). 252–263. 12 indexed citations

11.

Shpak, Max, Steven Hecht Orzack, & E. Barany. (2013). The influence of demographic stochasticity on evolutionary dynamics and stability. Theoretical Population Biology. 88. 47–56. 6 indexed citations

12.

Shpak, Max, et al.. (2010). Selection for male-enforced uniparental cytoplasmic inheritance. Theory in Biosciences. 129(4). 295–306. 3 indexed citations

13.

Nakayasu, Ernesto, et al.. (2009). Lipidomic analysis reveals that phosphatidylglycerol and phosphatidylethanolamine are newly generated phospholipids in an early-divergent protozoan, Giardia lamblia. Molecular and Biochemical Parasitology. 165(1). 67–78. 23 indexed citations

14.

Shpak, Max, John Wakeley, Daniel Garrigan, & Richard C Lewontin. (2009). A STRUCTURED COALESCENT PROCESS FOR SEASONALLY FLUCTUATING POPULATIONS. Evolution. 64(5). 1395–409. 11 indexed citations

15.

Shpak, Max & Stephen R. Proulx. (2007). The Role of Life Cycle and Migration in Selection for Variance in Offspring Number. Bulletin of Mathematical Biology. 69(7). 2443–2443. 2 indexed citations

16.

Shpak, Max. (2004). Aggregation of Variables and System Decomposition: Applications to Fitness Landscape Analysis. Theory in Biosciences. 123(1). 33–68. 14 indexed citations

17.

Shpak, Max. (2002). A Survey of Unequal Crossover Systems and their Mathematical Properties. Bulletin of Mathematical Biology. 64(4). 703–746. 2 indexed citations

18.

Shpak, Max & Gary A. Churchill. (2000). The Information Content of a Character under a Markov Model of Evolution. Molecular Phylogenetics and Evolution. 17(2). 231–243. 18 indexed citations

19.

Barton, Nick & Max Shpak. (2000). The Stability of Symmetric Solutions to Polygenic Models. Theoretical Population Biology. 57(3). 249–263. 33 indexed citations

20.

Shpak, Max & Günter P. Wagner. (2000). Asymmetry of Configuration Space Induced by Unequal Crossover: Implications for a Mathematical Theory of Evolutionary Innovation. Artificial Life. 6(1). 25–43. 15 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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