Allan Haldane

756 total citations
21 papers, 352 citations indexed

About

Allan Haldane is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Allan Haldane has authored 21 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Infectious Diseases. Recurrent topics in Allan Haldane's work include Evolution and Genetic Dynamics (8 papers), HIV Research and Treatment (6 papers) and Protein Structure and Dynamics (6 papers). Allan Haldane is often cited by papers focused on Evolution and Genetic Dynamics (8 papers), HIV Research and Treatment (6 papers) and Protein Structure and Dynamics (6 papers). Allan Haldane collaborates with scholars based in United States and Canada. Allan Haldane's co-authors include Ronald M. Levy, William F. Flynn, Peng He, Avik Biswas, Michael Manhart, Alexandre V. Morozov, Bruce E. Torbett, Eddy Arnold, Ramachandran Vijayan and Abhishek Thakur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Allan Haldane

20 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Allan Haldane United States	11	239	137	79	78	29	21	352
Majid Masso United States	11	439 1.8×	82 0.6×	64 0.8×	66 0.8×	105 3.6×	39	532
Andrzej K. Konopka United States	12	275 1.2×	55 0.4×	32 0.4×	39 0.5×	11 0.4×	20	367
Neil M. Bell United Kingdom	8	502 2.1×	79 0.6×	73 0.9×	139 1.8×	8 0.3×	8	604
Matteo Figliuzzi Italy	11	581 2.4×	140 1.0×	12 0.2×	7 0.1×	29 1.0×	21	649
Nicholas F. Marshall United States	9	571 2.4×	84 0.6×	35 0.4×	112 1.4×	12 0.4×	21	669
Peter K. Vlasov Russia	11	417 1.7×	231 1.7×	21 0.3×	5 0.1×	39 1.3×	16	524
Manon Eckhardt United States	10	267 1.1×	40 0.3×	99 1.3×	143 1.8×	8 0.3×	16	551
Dariya K. Sydykova United States	6	395 1.7×	93 0.7×	23 0.3×	9 0.1×	73 2.5×	7	491
W.R. Taylor United Kingdom	11	567 2.4×	72 0.5×	14 0.2×	13 0.2×	93 3.2×	19	671
Jordan R. Willis United States	13	339 1.4×	22 0.2×	56 0.7×	134 1.7×	22 0.8×	17	658

Countries citing papers authored by Allan Haldane

Since Specialization

Citations

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

Fields of papers citing papers by Allan Haldane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allan Haldane

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

Levy, Ronald M., et al.. (2025). BPS2025 - Phylogenetic corrections and higher-order sequence statistics in protein families: The Potts model and MSA transformer showdown. Biophysical Journal. 124(3). 487a–487a. 1 indexed citations

Levy, Ronald M., et al.. (2025). Phylogenetic corrections and higher-order sequence statistics in protein families: Potts vs multiple sequence alignment transformer machine learning models. Physical Review Research. 7(4).

Pawnikar, Shristi, et al.. (2024). Activation of polycystin-1 signaling by binding of stalk-derived peptide agonists. eLife. 13. 3 indexed citations

Thakur, Abhishek, et al.. (2024). Evolutionary sequence and structural basis for the distinct conformational landscapes of Tyr and Ser/Thr kinases. Nature Communications. 15(1). 6545–6545. 5 indexed citations

Biswas, Avik, Indrani Choudhuri, Eddy Arnold, et al.. (2024). Kinetic coevolutionary models predict the temporal emergence of HIV-1 resistance mutations under drug selection pressure. Proceedings of the National Academy of Sciences. 121(15). e2316662121–e2316662121. 7 indexed citations

Passos, Dario Oliveira, Steven J. Smith, Avik Biswas, et al.. (2023). Mechanisms of HIV-1 integrase resistance to dolutegravir and potent inhibition of drug-resistant variants. Science Advances. 9(29). eadg5953–eadg5953. 17 indexed citations

Biswas, Avik, Allan Haldane, & Ronald M. Levy. (2022). Limits to detecting epistasis in the fitness landscape of HIV. PLoS ONE. 17(1). e0262314–e0262314. 7 indexed citations

Choudhuri, Indrani, Avik Biswas, Allan Haldane, & Ronald M. Levy. (2022). Contingency and Entrenchment of Drug-Resistance Mutations in HIV Viral Proteins. The Journal of Physical Chemistry B. 126(50). 10622–10636. 7 indexed citations

Vučetić, Slobodan, et al.. (2021). The generative capacity of probabilistic protein sequence models. Nature Communications. 12(1). 6302–6302. 24 indexed citations

10.

Hung, N., Allan Haldane, Ronald M. Levy, & Yinglong Miao. (2021). Unique features of different classes of G‐protein‐coupled receptors revealed from sequence coevolutionary and structural analysis. Proteins Structure Function and Bioinformatics. 90(2). 601–614. 6 indexed citations

11.

Haldane, Allan & Ronald M. Levy. (2020). Mi3-GPU: MCMC-based inverse Ising inference on GPUs for protein covariation analysis. Computer Physics Communications. 260. 107312–107312. 16 indexed citations

12.

Haldane, Allan & Ronald M. Levy. (2019). Influence of multiple-sequence-alignment depth on Potts statistical models of protein covariation. Physical review. E. 99(3). 32405–32405. 19 indexed citations

13.

Biswas, Avik, Allan Haldane, Eddy Arnold, & Ronald M. Levy. (2019). Epistasis and entrenchment of drug resistance in HIV-1 subtype B. eLife. 8. 26 indexed citations

14.

Haldane, Allan, William F. Flynn, Peng He, & Ronald M. Levy. (2018). Coevolutionary Landscape of Kinase Family Proteins: Sequence Probabilities and Functional Motifs. Biophysical Journal. 114(1). 21–31. 19 indexed citations

15.

Flynn, William F., Allan Haldane, Bruce E. Torbett, & Ronald M. Levy. (2017). Inference of Epistatic Effects Leading to Entrenchment and Drug Resistance in HIV-1 Protease. Molecular Biology and Evolution. 34(6). 1291–1306. 39 indexed citations

16.

Levy, Ronald M., Allan Haldane, & William F. Flynn. (2016). Potts Hamiltonian models of protein co-variation, free energy landscapes, and evolutionary fitness. Current Opinion in Structural Biology. 43. 55–62. 63 indexed citations

17.

Haldane, Allan, William F. Flynn, Peng He, Ramachandran Vijayan, & Ronald M. Levy. (2016). Structural propensities of kinase family proteins from a Potts model of residue co‐variation. Protein Science. 25(8). 1378–1384. 39 indexed citations

18.

Haldane, Allan, Michael Manhart, & Alexandre V. Morozov. (2014). Biophysical Fitness Landscapes for Transcription Factor Binding Sites. PLoS Computational Biology. 10(7). e1003683–e1003683. 27 indexed citations

19.

Manhart, Michael, Allan Haldane, & Alexandre V. Morozov. (2012). A universal scaling law determines time reversibility and steady state of substitutions under selection. Theoretical Population Biology. 82(1). 66–76. 10 indexed citations

20.

Pandžić, Elvis, Allan Haldane, & Maria Kilfoil. (2009). Multi-scale Modelling Of Tb-Mscl Gating In Its Native Environment. Biophysical Journal. 96(3). 254a–254a. 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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