Naomi K. Fox

1.4k total citations · 1 hit paper
9 papers, 855 citations indexed

About

Naomi K. Fox is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Naomi K. Fox has authored 9 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Materials Chemistry and 1 paper in Computational Theory and Mathematics. Recurrent topics in Naomi K. Fox's work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Bioinformatics (3 papers). Naomi K. Fox is often cited by papers focused on Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Bioinformatics (3 papers). Naomi K. Fox collaborates with scholars based in United States, Philippines and United Kingdom. Naomi K. Fox's co-authors include Steven E. Brenner, John‐Marc Chandonia, Changhua Yu, Ileana Streinu, Andreas Prlić, Kevin B. Jacobs, Reece K. Hart, Raymond Dalgleish, Meng Wang and Peter Freeman and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and BMC Bioinformatics.

In The Last Decade

Naomi K. Fox

9 papers receiving 844 citations

Hit Papers

1 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.

SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures

2013 550 citations Naomi K. Fox, Steven E. Brenner et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naomi K. Fox United States	7	766	226	98	39	35	9	855
Julia Koehler Leman United States	16	869 1.1×	168 0.7×	148 1.5×	49 1.3×	42 1.2×	25	1.1k
Gyu Rie Lee South Korea	14	748 1.0×	148 0.7×	122 1.2×	40 1.0×	39 1.1×	23	909
Noelia Ferruz Spain	12	652 0.9×	131 0.6×	117 1.2×	40 1.0×	22 0.6×	20	818
David La United States	14	571 0.7×	169 0.7×	131 1.3×	24 0.6×	25 0.7×	19	720
Gabriele Pozzati Sweden	5	722 0.9×	168 0.7×	115 1.2×	31 0.8×	25 0.7×	5	842
Thomas Litfin Australia	16	758 1.0×	178 0.8×	111 1.1×	26 0.7×	23 0.7×	27	859
Gordana Apic Germany	11	699 0.9×	98 0.4×	84 0.9×	81 2.1×	20 0.6×	14	797
Matthew Bashton United Kingdom	13	853 1.1×	157 0.7×	105 1.1×	85 2.2×	32 0.9×	26	1.1k
Osvaldo Olmea Spain	9	972 1.3×	368 1.6×	84 0.9×	52 1.3×	16 0.5×	10	1.1k
Badri Adhikari United States	17	841 1.1×	293 1.3×	143 1.5×	40 1.0×	12 0.3×	31	956

Countries citing papers authored by Naomi K. Fox

Since Specialization

Citations

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

Fields of papers citing papers by Naomi K. Fox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naomi K. Fox. 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 Naomi K. Fox. The network helps show where Naomi K. Fox may publish in the future.

Co-authorship network of co-authors of Naomi K. Fox

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

All Works

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9 of 9 papers shown

1.

Chandonia, John‐Marc, et al.. (2021). SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning. Nucleic Acids Research. 50(D1). D553–D559. 86 indexed citations

2.

Wang, Meng, Keith M. Callenberg, Raymond Dalgleish, et al.. (2018). hgvs: A Python package for manipulating sequence variants using HGVS nomenclature: 2018 Update. Human Mutation. 39(12). 1803–1813. 16 indexed citations

3.

Chandonia, John‐Marc, Naomi K. Fox, & Steven E. Brenner. (2018). SCOPe: classification of large macromolecular structures in the structural classification of proteins—extended database. Nucleic Acids Research. 47(D1). D475–D481. 104 indexed citations

4.

Chandonia, John‐Marc, Naomi K. Fox, & Steven E. Brenner. (2016). SCOPe: Manual Curation and Artifact Removal in the Structural Classification of Proteins – extended Database. Journal of Molecular Biology. 429(3). 348–355. 70 indexed citations

5.

Fox, Naomi K., Steven E. Brenner, & John‐Marc Chandonia. (2015). The value of protein structure classification information—Surveying the scientific literature. Proteins Structure Function and Bioinformatics. 83(11). 2025–2038. 17 indexed citations

6.

Fox, Naomi K., Steven E. Brenner, & John‐Marc Chandonia. (2013). SCOPe: Structural Classification of Proteins—extended, integrating SCOP and ASTRAL data and classification of new structures. Nucleic Acids Research. 42(D1). D304–D309. 550 indexed citations breakdown →

7.

Fox, Naomi K. & Ileana Streinu. (2013). Towards accurate modeling of noncovalent interactions for protein rigidity analysis. BMC Bioinformatics. 14(S18). S3–S3. 6 indexed citations

8.

Fox, Naomi K. & Ileana Streinu. (2012). Towards accurate modeling for protein rigidity analysis. 2. 1–6. 3 indexed citations

9.

Fox, Naomi K. & Ileana Streinu. (2011). Redundant interactions in protein rigid cluster analysis. 8. 99–104. 3 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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