David Wild

3.0k total citations
93 papers, 2.1k citations indexed

About

David Wild is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, David Wild has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 35 papers in Computational Theory and Mathematics and 14 papers in Artificial Intelligence. Recurrent topics in David Wild's work include Computational Drug Discovery Methods (35 papers), Bioinformatics and Genomic Networks (27 papers) and Biomedical Text Mining and Ontologies (17 papers). David Wild is often cited by papers focused on Computational Drug Discovery Methods (35 papers), Bioinformatics and Genomic Networks (27 papers) and Biomedical Text Mining and Ontologies (17 papers). David Wild collaborates with scholars based in United States, United Kingdom and China. David Wild's co-authors include Ying Ding, Bin Chen, R.H. Locker, Rajarshi Guha, Peter Willett, Xiao Dong, Qian Zhu, Abhik Seal, Dazhi Jiao and Huijun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

David Wild

87 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Wild United States	26	1.2k	896	358	136	131	93	2.1k
Gareth Owen United Kingdom	11	1.5k 1.3×	468 0.5×	296 0.8×	188 1.4×	107 0.8×	34	2.6k
Ola Spjuth Sweden	31	1.5k 1.2×	1.2k 1.3×	300 0.8×	155 1.1×	332 2.5×	125	2.9k
Cristian R. Munteanu Spain	29	1.2k 1.0×	916 1.0×	199 0.6×	156 1.1×	223 1.7×	122	2.4k
Jennifer Fostel United States	30	2.0k 1.8×	243 0.3×	188 0.5×	170 1.3×	41 0.3×	54	3.1k
Nataša Pržulj United Kingdom	37	4.4k 3.7×	1.5k 1.7×	669 1.9×	48 0.4×	119 0.9×	92	6.0k
Zhiying Wang China	31	718 0.6×	326 0.4×	609 1.7×	39 0.3×	53 0.4×	319	3.5k
Yasubumi Sakakibara Japan	31	2.2k 1.9×	499 0.6×	571 1.6×	53 0.4×	147 1.1×	114	3.3k
Hiroshi Mamitsuka Japan	35	2.7k 2.3×	1.0k 1.2×	1.1k 3.2×	102 0.8×	210 1.6×	180	4.3k
Jem J. Rowland United Kingdom	22	1.8k 1.6×	152 0.2×	206 0.6×	53 0.4×	120 0.9×	30	3.2k
Shaoliang Peng China	28	1.5k 1.3×	374 0.4×	441 1.2×	37 0.3×	122 0.9×	190	3.1k

Countries citing papers authored by David Wild

Since Specialization

Citations

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

Fields of papers citing papers by David Wild

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wild

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

20 of 20 papers shown

Wild, David, Anna M. Steyer, Julian Hennies, et al.. (2025). 3D correlative light and electron microscopy reveals the uptake and processing of inorganic-organic hybrid nanoparticles into cancer cells. Nanomedicine Nanotechnology Biology and Medicine. 70. 102872–102872.

Wild, David, et al.. (2023). Digital transformation strategies for applied science domains. SHILAP Revista de lepidopterología. 9. 3 indexed citations

Yuan, Xiaojun, et al.. (2022). Socially vulnerable populations adoption of technology to address lifestyle changes amid COVID-19 in the US. PubMed. 6(2). 100001–100001. 12 indexed citations

Yang, Jeremy J., Christophe G Lambert, Cristian Bologa, et al.. (2021). TIGA: target illumination GWAS analytics. Bioinformatics. 37(21). 3865–3873. 8 indexed citations

Gao, Zheng, Gang Fu, Satoshi Tsutsui, et al.. (2019). edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. BMC Bioinformatics. 20(1). 306–306. 34 indexed citations

Seal, Abhik & David Wild. (2018). Netpredictor: R and Shiny package to perform drug-target network analysis and prediction of missing links. BMC Bioinformatics. 19(1). 265–265. 9 indexed citations

Saltz, Jeffrey, et al.. (2018). Exploring Project Management Methodologies Used Within Data Science Teams. Journal of the Association for Information Systems. 21 indexed citations

Wild, David, et al.. (2016). An activity canyon characterization of the pharmacological topography. Journal of Cheminformatics. 8(1). 41–41.

Seal, Abhik, et al.. (2013). Enhanced ranking of PknB Inhibitors using data fusion methods. Journal of Cheminformatics. 5(1). 2–2. 29 indexed citations

10.

Wild, David. (2013). Cheminformatics for the masses: a chance to increase educational opportunities for the next generation of cheminformaticians. Journal of Cheminformatics. 5(1). 32–32. 5 indexed citations

11.

Chen, Bin & David Wild. (2013). Practice and Challenges of Building a Semantic Framework for Chemogenomics Research. Molecular Informatics. 32(11-12). 1000–1008.

12.

Wild, David, et al.. (2013). Electronic Laboratory Notebooks Progress and Challenges in Implementation. SLAS TECHNOLOGY. 18(4). 264–268. 30 indexed citations

13.

Wild, David, et al.. (2012). Fast rule-based bioactivity prediction using associative classification mining. Journal of Cheminformatics. 4(1). 29–29. 18 indexed citations

14.

Kong, Xiangnan, Philip S. Yu, Ying Ding, David Wild, & Saudi Arabia. (2012). Meta Path-Based Classification in Heterogeneous Information Networks. 1 indexed citations

15.

Chen, Bin, Xiao Dong, Dazhi Jiao, et al.. (2010). Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data. BMC Bioinformatics. 11(1). 255–255. 155 indexed citations

16.

Dong, Xiao & David Wild. (2008). An Automatic Drug Discovery Workflow Generation Tool Using Semantic Web Technologies. 33. 652–657. 5 indexed citations

17.

Devine, C.E., et al.. (2001). Factors affecting tenderness of electrically stimulated poultry. New Zealand Journal of Agricultural Research. 44(2-3). 171–175. 2 indexed citations

18.

Wild, David & Peter Willett. (1994). Similarity searching in files of three-dimensional chemical structures. Implementation of atom mapping on the distributed array processor DAP-610, the MasPar MP-1104, and the connection machine CM-200. Journal of Chemical Information and Computer Sciences. 34(1). 224–231. 7 indexed citations

19.

Artymiuk, Peter J., Peter A. Bath, Helen M. Grindley, et al.. (1992). Similarity searching in databases of three-dimensional molecules and macromolecules. Journal of Chemical Information and Computer Sciences. 32(6). 617–630. 22 indexed citations

20.

Locker, R.H. & David Wild. (1984). ‘Ageing’ of cold shortened meat depends on the criterion. Meat Science. 10(3). 235–238. 8 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.

Explore authors with similar magnitude of impact