Kim Branson

1.6k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

Kim Branson is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Kim Branson has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Kim Branson's work include Machine Learning in Healthcare (5 papers), Computational Drug Discovery Methods (5 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Kim Branson is often cited by papers focused on Machine Learning in Healthcare (5 papers), Computational Drug Discovery Methods (5 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Kim Branson collaborates with scholars based in United States, United Kingdom and Australia. Kim Branson's co-authors include Vijay S. Pande, David L. Mobley, John D. Chodera, Michael R. Shirts, R. W. Dixon, Sarah A. Robertson, Aisling Ahlström, Leigh R. Guerin, John J. Bromfield and Alison S. Care and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Reviews Drug Discovery.

In The Last Decade

Kim Branson

20 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.

Alchemical free energy methods for drug discovery: progress and challenges

2011 442 citations John D. Chodera, David L. Mobley et al. Current Opinion in Structural Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim Branson United States	10	525	263	260	145	116	21	1.1k
U. Thomas Meier United States	30	2.6k 4.9×	192 0.7×	30 0.1×	84 0.6×	108 0.9×	62	3.5k
Gerard Kroon United States	18	1.6k 3.0×	109 0.4×	47 0.2×	569 3.9×	46 0.4×	34	2.0k
Richard M. Jackson United Kingdom	31	3.2k 6.0×	119 0.5×	1.3k 5.1×	932 6.4×	69 0.6×	65	4.1k
Lorenzo Casalino United States	21	1.2k 2.4×	154 0.6×	185 0.7×	96 0.7×	18 0.2×	33	2.1k
Jingzhong Guo United States	18	452 0.9×	94 0.4×	10 0.0×	86 0.6×	40 0.3×	51	1.2k
Uwe Hobohm Germany	15	1.9k 3.6×	207 0.8×	116 0.4×	681 4.7×	87 0.8×	22	2.4k
Alexandre G. de Brevern France	34	3.1k 6.0×	179 0.7×	253 1.0×	1.2k 8.2×	63 0.5×	157	3.8k
Charles Lin United States	19	1.8k 3.4×	1.0k 3.8×	227 0.9×	169 1.2×	44 0.4×	26	3.0k
Michael Caffrey United States	29	1.2k 2.2×	222 0.8×	50 0.2×	162 1.1×	62 0.5×	94	2.1k
Hiroaki Fukunishi Japan	10	622 1.2×	9 0.0×	167 0.6×	229 1.6×	17 0.1×	32	1.1k

Countries citing papers authored by Kim Branson

Since Specialization

Citations

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

Fields of papers citing papers by Kim Branson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Branson

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Branson. A scholar is included among the top collaborators of Kim Branson 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 Kim Branson. Kim Branson 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:

20 of 20 papers shown

Liu, Fenglin, Li Zheng, Qingyu Yin, et al.. (2025). A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. npj Digital Medicine. 8(1). 86–86. 5 indexed citations

Chauhan, Vinod Kumar, Lei Clifton, Huiqi Lu, et al.. (2025). Sample Selection Bias in Machine Learning for Healthcare. 6(4). 1–24. 1 indexed citations

Zhou, Hongjian, Fenglin Liu, Wenjun Zhang, et al.. (2025). A collaborative large language model for drug analysis. Nature Biomedical Engineering.

Molaei, Soheila, Fenglin Liu, Andrew A. S. Soltan, et al.. (2024). Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digital Medicine. 7(1). 283–283. 3 indexed citations

Vu, Quoc Dang, Lawrence S. Young, Kim Branson, et al.. (2024). Cancer drug sensitivity prediction from routine histology images. npj Precision Oncology. 8(1). 5–5. 11 indexed citations

Jahanifar, Mostafa, Lawrence S. Young, Asa Ben‐Hur, et al.. (2023). Cross-linking breast tumor transcriptomic states and tissue histology. Cell Reports Medicine. 4(12). 101313–101313. 2 indexed citations

Stegmann, Jens‐Ulrich, et al.. (2023). Trustworthy AI for safe medicines. Nature Reviews Drug Discovery. 22(10). 855–856. 6 indexed citations

Branson, Kim, et al.. (2021). mRNA codon optimization with quantum computers. PLoS ONE. 16(10). e0259101–e0259101. 28 indexed citations

Shinavier, Joshua, Kim Branson, Wei Zhang, et al.. (2019). Panel: Knowledge Graph Industry Applications. 676–676. 2 indexed citations

10.

Nguyen, Trung Hai, Ariën S. Rustenburg, S.G. Krimmer, et al.. (2018). Bayesian analysis of isothermal titration calorimetry for binding thermodynamics. PLoS ONE. 13(9). e0203224–e0203224. 21 indexed citations

11.

Mobley, David L., Shuai Liu, Nathan M. Lim, et al.. (2014). Blind prediction of HIV integrase binding from the SAMPL4 challenge. Journal of Computer-Aided Molecular Design. 28(4). 327–345. 48 indexed citations

12.

Novick, Paul, Dahabada H. J. Lopes, Kim Branson, et al.. (2012). Design of β-Amyloid Aggregation Inhibitors from a Predicted Structural Motif. Journal of Medicinal Chemistry. 55(7). 3002–3010. 53 indexed citations

13.

Chodera, John D., David L. Mobley, Michael R. Shirts, et al.. (2011). Alchemical free energy methods for drug discovery: progress and challenges. Current Opinion in Structural Biology. 21(2). 150–160. 442 indexed citations breakdown →

14.

Newman, Janet, Vincent Fazio, Tom T. Caradoc-Davies, Kim Branson, & Thomas S. Peat. (2009). Practical Aspects of the SAMPL Challenge: Providing an Extensive Experimental Data Set for the Modeling Community. SLAS DISCOVERY. 14(10). 1245–1250. 15 indexed citations

15.

Robertson, Sarah A., Leigh R. Guerin, John J. Bromfield, et al.. (2009). Seminal Fluid Drives Expansion of the CD4+CD25+ T Regulatory Cell Pool and Induces Tolerance to Paternal Alloantigens in Mice1. Biology of Reproduction. 80(5). 1036–1045. 281 indexed citations

16.

Branson, Kim, Haydyn D. T. Mertens, James Swarbrick, et al.. (2009). Discovery of Inhibitors of Lupin Diadenosine 5′,5′′′-P¹,P⁴-Tetraphosphate Hydrolase by Virtual Screening. Biochemistry. 48(32). 7614–7620. 7 indexed citations

17.

Branson, Kim & Brian J. Smith. (2004). The Role of Virtual Screening in Computer Aided Structure-Based Drug Design. Australian Journal of Chemistry. 57(11). 1029–1037. 7 indexed citations

18.

Inglis, Steven R., et al.. (2004). Identification and Specificity Studies of Small-Molecule Ligands for SH3 Protein Domains. Journal of Medicinal Chemistry. 47(22). 5405–5417. 66 indexed citations

19.

Buyya, Rajkumar, Kim Branson, J. Giddy, & David Abramson. (2003). The Virtual Laboratory: a toolset to enable distributed molecular modelling for drug design on the World‐Wide Grid. Concurrency and Computation Practice and Experience. 15(1). 1–25. 77 indexed citations

20.

Smith, Brian J., Kim Branson, & Gerrit Schüürmann. (2001). Gaussian-theory predictions of proton transfer to water of phenol and 3-chlorophenol: resolution of an apparent difficulty. Chemical Physics Letters. 342(3-4). 402–404. 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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