Christine Chichester

1.9k citations
31 papers · 958 indexed · h-index 17
Topics
Biomedical Text Mining and Ontologies (14 papers)Bioinformatics and Genomic Networks (8 papers)Computational Drug Discovery Methods (7 papers)

In The Last Decade

Christine Chichester

31 papers receiving 925 citations

Peers

Christine Chichester
Comparison fields: 5 of 111
  • Molecular Biology 594
  • Artificial Intelligence 246
  • Computational Theory and Mathematics 184
  • Cancer Research 120
  • Information Systems and Management 94
Replace Namrata Kale with:
Namrata Kale United Kingdom
Bernd Wiswedel Germany
Niklas Blomberg Sweden
Adriano Dekker United Kingdom
Fabian Dill Germany
Vijayalakshmi Chelliah United Kingdom
Kirill Degtyarenko United Kingdom
Camille Laibe United Kingdom
Jeremy L. Muhlich United States
Glenn J. Myatt United States
Christine Chichester relative to Namrata Kale United Kingdom Namrata Kale's profile →
Citations per field
00.5×
Namrata Kale · 1×
Citations per year

Countries citing papers authored by Christine Chichester

Since Specialization
Citations

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

Fields of papers citing papers by Christine Chichester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Chichester

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 1
3 36
4 5
5 23
6 14
7 26
8 211
9 37
10 10
11 59
12
Report on the TREC 2005 Experiment: Genomics Track.
25
13 5
14 10
15 3
16 27
17 48
18 63
19 22
20 51

About Christine Chichester

Christine Chichester is a scholar working on Information Systems and Management, Pharmaceutical Science and Computational Theory and Mathematics, having authored 31 papers that have together received 958 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (14 papers), Bioinformatics and Genomic Networks (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Information Systems and Management (94 citations), Computational Theory and Mathematics (184 citations) and Pharmacology (90 citations). Christine Chichester has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Alan R. Buckpitt, Charles G. Plopper, Paul Groth, Antony Williams, Lee Harland, Barend Mons, Gerhard F. Ecker, Chris T. Evelo, James P. Whitlock and Steve Pettifer. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026