Timothy Hancock

436 citations
16 papers · 305 indexed · h-index 9
Topics
Bioinformatics and Genomic Networks (7 papers)Microbial Metabolic Engineering and Bioproduction (6 papers)Gene Regulatory Network Analysis (3 papers)
Partner nations
JapanAustraliaBelgium

In The Last Decade

Timothy Hancock

16 papers receiving 290 citations

Peers

Timothy Hancock
Comparison fields: 5 of 99
  • Molecular Biology 133
  • Epidemiology 57
  • Cancer Research 53
  • Infectious Diseases 50
  • Computational Theory and Mathematics 49
Replace Lokesh P. Tripathi with:
Lokesh P. Tripathi Japan
Rakesh Kaundal United States
Himansu Kumar India
Safee Ullah Chaudhary Pakistan
Rong Gao China
Muhammad Tariq Pervez Pakistan
François Moreews France
Philippe Marc France
Leimarembi Devi Naorem India
Timothy Hancock relative to Lokesh P. Tripathi Japan Lokesh P. Tripathi's profile →
Citations per field
00.5×1.7×
Lokesh P. Tripathi · 1×
Citations per year

Countries citing papers authored by Timothy Hancock

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Hancock

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 17
2 21
3 35
4 12
5 2
6 12
7 5
8 1
9 65
10
Boosted Optimization for Network Classification
1
11 1
12 8
13 17
14 99
15 8
16
Supervised hierarchical clustering using CART
1

About Timothy Hancock

Timothy Hancock is a scholar working on Analytical Chemistry, Cancer Research and Molecular Biology, having authored 16 papers that have together received 305 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Cancer Research (53 citations), Computational Theory and Mathematics (49 citations) and Infectious Diseases (50 citations). Timothy Hancock has collaborated with scholars based in Japan, Australia and Belgium. Frequent co-authors include Hiroshi Mamitsuka, D. Coomans, Yvan Vander Heyden, D.L. Massart, Éric Deconinck, Yayoi Natsume‐Kitatani, David A. duVerle, Ichigaku Takigawa, Benjamin G. Cocks and Ben J. Hayes. Their work appears in journals such as Bioinformatics, PLoS ONE and Emerging infectious diseases.

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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