Ronald D. Hills

2.0k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Ronald D. Hills is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Ronald D. Hills has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Materials Chemistry. Recurrent topics in Ronald D. Hills's work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Ronald D. Hills is often cited by papers focused on Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (5 papers) and Lipid Membrane Structure and Behavior (4 papers). Ronald D. Hills collaborates with scholars based in United States and Singapore. Ronald D. Hills's co-authors include Charles L. Brooks, Cody A. Black, Steven C. Sutton, Benjamin Pontefract, Cory R. Theberge, Lanyuan Lu, Gregory A. Voth, Olgun Guvench, Andrew B. Ward and Sagar V. Kathuria and has published in prestigious journals such as Journal of Molecular Biology, The Journal of Physical Chemistry B and Biophysical Journal.

In The Last Decade

Ronald D. Hills

18 papers receiving 1.4k 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.

Gut Microbiome: Profound Implications for Diet and Disease

2019 764 citations Ronald D. Hills, Benjamin Pontefract et al. Nutrients profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronald D. Hills United States	13	1.1k	351	268	109	100	18	1.4k
Tatiana V. Esipova United States	20	820 0.8×	226 0.6×	229 0.9×	144 1.3×	220 2.2×	28	2.0k
Rohit Mittal United States	24	1.5k 1.4×	209 0.6×	146 0.5×	59 0.5×	144 1.4×	68	2.6k
Dmitry Alexeev Russia	29	1.7k 1.6×	301 0.9×	243 0.9×	139 1.3×	178 1.8×	87	2.4k
Anthony M. Haag United States	23	818 0.8×	224 0.6×	212 0.8×	238 2.2×	189 1.9×	53	1.6k
Chiaki Nishimura Japan	26	1.1k 1.0×	119 0.3×	459 1.7×	91 0.8×	88 0.9×	123	2.0k
Catalin Chimerel United Kingdom	15	737 0.7×	214 0.6×	69 0.3×	43 0.4×	85 0.8×	20	1.3k
Sabine Schweizer Germany	19	636 0.6×	301 0.9×	239 0.9×	30 0.3×	47 0.5×	40	1.4k
Wei‐Chin Hung Taiwan	28	1.5k 1.4×	288 0.8×	69 0.3×	75 0.7×	41 0.4×	110	3.4k
Akira Shirahata Japan	33	2.1k 2.0×	316 0.9×	75 0.3×	54 0.5×	93 0.9×	216	4.0k
Andrea Hofmann Germany	26	580 0.5×	94 0.3×	125 0.5×	99 0.9×	101 1.0×	75	2.0k

Countries citing papers authored by Ronald D. Hills

Since Specialization

Citations

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

Fields of papers citing papers by Ronald D. Hills

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald D. Hills. 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 Ronald D. Hills. The network helps show where Ronald D. Hills may publish in the future.

Co-authorship network of co-authors of Ronald D. Hills

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

All Works

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18 of 18 papers shown

Hills, Ronald D., et al.. (2022). Gut Microbiome: Profound Implications for Diet and Disease. 1–16. 13 indexed citations

Hills, Ronald D., et al.. (2020). Statin Treatment in Specific Patient Groups: Role for Improved Cardiovascular Risk Markers. Journal of Clinical Medicine. 9(11). 3748–3748. 2 indexed citations

Hills, Ronald D., et al.. (2019). Gut Microbiome: Profound Implications for Diet and Disease. Nutrients. 11(7). 1613–1613. 764 indexed citations breakdown →

Hills, Ronald D., et al.. (2018). Guide to Popular Diets, Food Choices, and Their Health Outcome. 6(2). 3 indexed citations

Hills, Ronald D.. (2018). Refining amino acid hydrophobicity for dynamics simulation of membrane proteins. PeerJ. 6. e4230–e4230. 4 indexed citations

Black, Cody A., et al.. (2017). Simulation of lipid-protein interactions with the CgProt force field. 4(3). 352–369. 7 indexed citations

Hills, Ronald D., et al.. (2016). Model parameters for simulation of physiological lipids. Journal of Computational Chemistry. 37(12). 1112–1118. 38 indexed citations

Hills, Ronald D.. (2013). Balancing Bond, Nonbond, and Gō-Like Terms in Coarse Grain Simulations of Conformational Dynamics. Methods in molecular biology. 1084. 123–140. 7 indexed citations

Ward, Andrew B., Olgun Guvench, & Ronald D. Hills. (2012). Coarse grain lipid–protein molecular interactions and diffusion with MsbA flippase. Proteins Structure Function and Bioinformatics. 80(9). 2178–2190. 23 indexed citations

10.

Hills, Ronald D., et al.. (2012). Peptide Backbone Sampling Convergence with the Adaptive Biasing Force Algorithm. The Journal of Physical Chemistry B. 117(2). 518–526. 22 indexed citations

11.

Ambrus, Géza, et al.. (2011). The Structure of the NXF2/NXT1 Heterodimeric Complex Reveals the Combined Specificity and Versatility of the NTF2-Like Fold. Journal of Molecular Biology. 415(4). 649–665. 14 indexed citations

12.

Hills, Ronald D., et al.. (2011). Mechanism of Binding Site Conformational Switching in the CD44–Hyaluronan Protein–Carbohydrate Binding Interaction. Journal of Molecular Biology. 406(4). 631–647. 24 indexed citations

13.

Hills, Ronald D., Lanyuan Lu, & Gregory A. Voth. (2010). Multiscale Coarse-Graining of the Protein Energy Landscape. PLoS Computational Biology. 6(6). e1000827–e1000827. 121 indexed citations

14.

Hills, Ronald D., Sagar V. Kathuria, Louise Wallace, et al.. (2010). Topological Frustration in βα-Repeat Proteins: Sequence Diversity Modulates the Conserved Folding Mechanisms of α/β/α Sandwich Proteins. Journal of Molecular Biology. 398(2). 332–350. 28 indexed citations

15.

Hills, Ronald D. & Charles L. Brooks. (2009). Insights from Coarse-Grained Gō Models for Protein Folding and Dynamics. International Journal of Molecular Sciences. 10(3). 889–905. 209 indexed citations

16.

Hills, Ronald D. & Charles L. Brooks. (2008). Coevolution of Function and the Folding Landscape: Correlation with Density of Native Contacts. Biophysical Journal. 95(9). L57–L59. 16 indexed citations

17.

Hills, Ronald D. & Charles L. Brooks. (2008). Subdomain Competition, Cooperativity, and Topological Frustration in the Folding of CheY. Journal of Molecular Biology. 382(2). 485–495. 50 indexed citations

18.

Hills, Ronald D. & Charles L. Brooks. (2007). Hydrophobic Cooperativity as a Mechanism for Amyloid Nucleation. Journal of Molecular Biology. 368(3). 894–901. 94 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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