Harry Scholes

974 total citations · 1 hit paper
9 papers, 543 citations indexed

About

Harry Scholes is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Harry Scholes has authored 9 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Infectious Diseases. Recurrent topics in Harry Scholes's work include Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Protein Structure and Dynamics (2 papers). Harry Scholes is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Protein Structure and Dynamics (2 papers). Harry Scholes collaborates with scholars based in United Kingdom, Malaysia and Egypt. Harry Scholes's co-authors include Christine Orengo, Jonathan Lees, Paul Ashford, Natalie L. Dawson, Ian Sillitoe, Neeladri Sen, Nicola Bordin, Clemens Rauer, Su Datt Lam and Camilla Pang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

In The Last Decade

Harry Scholes

9 papers receiving 537 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.

CATH: increased structural coverage of functional space

2020 280 citations Ian Sillitoe, Nicola Bordin 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
Harry Scholes United Kingdom	8	379	95	86	57	43	9	543
Troy Taylor United States	12	390 1.0×	49 0.5×	74 0.9×	25 0.4×	42 1.0×	19	509
Camilla Pang United Kingdom	4	346 0.9×	79 0.8×	76 0.9×	43 0.8×	11 0.3×	4	466
Mayya Sedova United States	10	333 0.9×	37 0.4×	74 0.9×	40 0.7×	15 0.3×	20	434
Monica C. Pillon United States	16	578 1.5×	34 0.4×	115 1.3×	31 0.5×	65 1.5×	28	734
Maciej Paweł Ciemny Poland	8	408 1.1×	84 0.9×	45 0.5×	137 2.4×	55 1.3×	9	508
Wei‐Zen Yang Taiwan	14	478 1.3×	43 0.5×	67 0.8×	36 0.6×	29 0.7×	24	604
Susana Barrera-Vilarmau Spain	10	272 0.7×	41 0.4×	57 0.7×	19 0.3×	23 0.5×	12	362
Weizu Chen China	14	310 0.8×	54 0.6×	79 0.9×	71 1.2×	36 0.8×	43	470
S.E. Thomas United Kingdom	15	318 0.8×	53 0.6×	211 2.5×	50 0.9×	35 0.8×	24	514
Nathalie Ulryck France	17	946 2.5×	70 0.7×	47 0.5×	41 0.7×	101 2.3×	22	1.1k

Countries citing papers authored by Harry Scholes

Since Specialization

Citations

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

Fields of papers citing papers by Harry Scholes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harry Scholes

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

9 of 9 papers shown

1.

Bordin, Nicola, et al.. (2024). Clustering protein functional families at large scale with hierarchical approaches. Protein Science. 33(9). e5140–e5140. 3 indexed citations

2.

Rodríguez‐López, Maria, Nicola Bordin, Jonathan Lees, et al.. (2023). Broad functional profiling of fission yeast proteins using phenomics and machine learning. eLife. 12. 9 indexed citations

3.

Rodríguez‐López, Maria, Nicola Bordin, Jonathan Lees, et al.. (2023). Broad functional profiling of fission yeast proteins using phenomics and machine learning. eLife. 12. 9 indexed citations

4.

Das, Sayoni, Harry Scholes, Neeladri Sen, & Christine Orengo. (2020). CATH functional families predict functional sites in proteins. Bioinformatics. 37(8). 1099–1106. 19 indexed citations

5.

Lam, Su Datt, Nicola Bordin, Vaishali Waman, et al.. (2020). SARS-CoV-2 spike protein predicted to form complexes with host receptor protein orthologues from a broad range of mammals. Scientific Reports. 10(1). 16471–16471. 80 indexed citations

6.

Scholes, Harry, Adam Cryar, Fiona Kerr, et al.. (2020). Dynamic changes in the brain protein interaction network correlates with progression of Aβ42 pathology in Drosophila. Scientific Reports. 10(1). 18517–18517. 7 indexed citations

7.

Sillitoe, Ian, Nicola Bordin, Natalie L. Dawson, et al.. (2020). CATH: increased structural coverage of functional space. Nucleic Acids Research. 49(D1). D266–D273. 280 indexed citations breakdown →

8.

Sillitoe, Ian, Natalie L. Dawson, Tony E. Lewis, et al.. (2018). CATH: expanding the horizons of structure-based functional annotations for genome sequences. Nucleic Acids Research. 47(D1). D280–D284. 93 indexed citations

9.

Abbott, Rachel J.M., Laura L. Quinn, Alison M. Leese, et al.. (2013). CD8+ T Cell Responses to Lytic EBV Infection: Late Antigen Specificities as Subdominant Components of the Total Response. The Journal of Immunology. 191(11). 5398–5409. 43 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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