Bryan Lunt

1.7k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Bryan Lunt is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Bryan Lunt has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Bryan Lunt's work include Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers) and RNA and protein synthesis mechanisms (3 papers). Bryan Lunt is often cited by papers focused on Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers) and RNA and protein synthesis mechanisms (3 papers). Bryan Lunt collaborates with scholars based in United States, Italy and France. Bryan Lunt's co-authors include Terence Hwa, Martin Weigt, Faruck Morcos, Chris Sander, Riccardo Zecchina, José N. Onuchic, Debora S. Marks, Andrea Pagnani, Andrea Procaccini and Hendrik Szurmant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biophysical Journal.

In The Last Decade

Bryan Lunt

7 papers receiving 1.1k 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.

Direct-coupling analysis of residue coevolution captures native contacts across many protein families

2011 971 citations Faruck Morcos, Andrea Pagnani et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan Lunt United States	4	988	210	203	78	45	8	1.1k
Arun S. Konagurthu Australia	10	700 0.7×	237 1.1×	76 0.4×	62 0.8×	29 0.6×	33	881
Karunesh Arora United States	20	989 1.0×	254 1.2×	150 0.7×	36 0.5×	94 2.1×	51	1.3k
John Ingraham United States	17	1.6k 1.7×	247 1.2×	436 2.1×	150 1.9×	47 1.0×	20	2.0k
Magnus Ekeberg Sweden	4	560 0.6×	106 0.5×	114 0.6×	43 0.6×	14 0.3×	4	682
Dennis R. Livesay United States	23	1.1k 1.1×	300 1.4×	93 0.5×	168 2.2×	50 1.1×	55	1.3k
Alberto J. M. Martín Chile	16	1.2k 1.2×	299 1.4×	109 0.5×	129 1.7×	76 1.7×	54	1.5k
Justas Dauparas United States	14	945 1.0×	193 0.9×	86 0.4×	95 1.2×	47 1.0×	20	1.2k
Gabriele Ausiello Italy	18	1.5k 1.6×	266 1.3×	105 0.5×	325 4.2×	122 2.7×	45	1.7k
Akira R. Kinjo Japan	17	1.0k 1.0×	379 1.8×	90 0.4×	142 1.8×	71 1.6×	50	1.2k
Julia Koehler Leman United States	16	869 0.9×	168 0.8×	49 0.2×	148 1.9×	70 1.6×	25	1.1k

Countries citing papers authored by Bryan Lunt

Since Specialization

Citations

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

Fields of papers citing papers by Bryan Lunt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Lunt

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Pariafsai, Fatemeh, et al.. (2024). COMPETENCIES CRITICAL TO CREATE AND UPDATE CONSTRUCTION PROJECT SCHEDULES: PERCEPTION OF THE GLOBAL ACADEMIA. EDULEARN proceedings. 1. 2364–2371. 1 indexed citations

2.

Lunt, Bryan, et al.. (2024). Mechanistic analysis of enhancer sequences in the estrogen receptor transcriptional program. Communications Biology. 7(1). 719–719.

3.

Lunt, Bryan, et al.. (2020). University of Illinois Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. 137–145. 1 indexed citations

4.

Västermark, Åke, Bryan Lunt, & Milton H. Saier. (2014). Major Facilitator Superfamily Porters, LacY, FucP and XylE of Escherichia coli Appear to Have Evolved Positionally Dissimilar Catalytic Residues without Rearrangement of 3-TMS Repeat Units. Microbial Physiology. 24(2). 82–90. 9 indexed citations

5.

Morcos, Faruck, Bryan Lunt, Debora S. Marks, et al.. (2012). Estimation of Residue-Residue Coevolution using Direct Coupling Analysis Identifies Many Native Contacts Across a Large Number of Domain Families. Biophysical Journal. 102(3). 250a–250a. 2 indexed citations

6.

Procaccini, Andrea, Bryan Lunt, Hendrik Szurmant, Terence Hwa, & Martin Weigt. (2011). Dissecting the Specificity of Protein-Protein Interaction in Bacterial Two-Component Signaling: Orphans and Crosstalks. PLoS ONE. 6(5). e19729–e19729. 69 indexed citations

7.

Morcos, Faruck, Andrea Pagnani, Bryan Lunt, et al.. (2011). Direct-coupling analysis of residue coevolution captures native contacts across many protein families. Proceedings of the National Academy of Sciences. 108(49). E1293–301. 971 indexed citations breakdown →

8.

Lunt, Bryan, Hendrik Szurmant, Andrea Procaccini, et al.. (2010). Inference of Direct Residue Contacts in Two-Component Signaling. Methods in enzymology on CD-ROM/Methods in enzymology. 471. 17–41. 35 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.

Explore authors with similar magnitude of impact