Jack Bikker

5.0k total citations · 1 hit paper
18 papers, 3.8k citations indexed

About

Jack Bikker is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Jack Bikker has authored 18 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in Jack Bikker's work include Computational Drug Discovery Methods (5 papers), Synthesis and Reactivity of Heterocycles (3 papers) and Receptor Mechanisms and Signaling (3 papers). Jack Bikker is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Synthesis and Reactivity of Heterocycles (3 papers) and Receptor Mechanisms and Signaling (3 papers). Jack Bikker collaborates with scholars based in United States, Canada and United Kingdom. Jack Bikker's co-authors include Christine Humblet, Frank Lovering, Susanne Trumpp-Kallmeyer, Natasja Brooijmans, Allan Wissner, Tarek S. Mansour, David C. Horwell, Donald F. Weaver, Nirmala Suman‐Chauhan and Victor J. Hruby and has published in prestigious journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Molecular Pharmacology.

In The Last Decade

Jack Bikker

18 papers receiving 3.7k citations

Hit Papers

Escape from Flatland: Increasing Saturation as an Approac... 2009 2026 2014 2020 2009 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Bikker United States 12 2.6k 1.3k 490 380 272 18 3.8k
Frank Lovering United States 19 3.7k 1.4× 1.6k 1.3× 603 1.2× 560 1.5× 380 1.4× 28 5.2k
David C. Rees United Kingdom 15 1.5k 0.6× 1.2k 0.9× 507 1.0× 223 0.6× 180 0.7× 16 3.1k
Antonia F. Stepan United States 20 1.7k 0.6× 733 0.6× 308 0.6× 271 0.7× 224 0.8× 37 2.9k
Christopher J. Helal United States 23 2.3k 0.9× 1.1k 0.9× 195 0.4× 889 2.3× 344 1.3× 36 3.4k
Sylvain Rault France 38 3.7k 1.4× 1.9k 1.5× 302 0.6× 148 0.4× 451 1.7× 296 5.2k
Rodolfo Lavilla Spain 31 3.2k 1.2× 1.3k 1.1× 219 0.4× 232 0.6× 514 1.9× 109 4.0k
William J. Greenlee United States 34 2.0k 0.7× 2.2k 1.8× 429 0.9× 141 0.4× 338 1.2× 161 4.5k
Frank M. Boeckler Germany 30 1.2k 0.5× 1.8k 1.5× 692 1.4× 395 1.0× 204 0.8× 75 3.6k
Paul Helquist United States 37 3.2k 1.2× 1.6k 1.3× 166 0.3× 840 2.2× 253 0.9× 169 4.9k
John W. Clader United States 28 1.4k 0.5× 953 0.8× 230 0.5× 118 0.3× 203 0.7× 72 3.1k

Countries citing papers authored by Jack Bikker

Since Specialization
Citations

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

Fields of papers citing papers by Jack Bikker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Bikker

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

All Works

18 of 18 papers shown
1.
Irwin, Benedict, Dmitriy S. Chekmarev, Shyam Vyas, et al.. (2021). Imputation of sensory properties using deep learning. Journal of Computer-Aided Molecular Design. 35(11). 1125–1140. 6 indexed citations
2.
Tumey, L. Nathan, Fengping Li, Brian Rago, et al.. (2017). Site Selection: a Case Study in the Identification of Optimal Cysteine Engineered Antibody Drug Conjugates. The AAPS Journal. 19(4). 1123–1135. 48 indexed citations
3.
Gilbert, A., Jack Bikker, & Steven V. O’Neil. (2010). Advances in the development of novel aggrecanase inhibitors. Expert Opinion on Therapeutic Patents. 21(1). 1–12. 24 indexed citations
4.
Hu, Yongbo, Ray Unwalla, R. Aldrin Denny, et al.. (2009). Development of QSAR models for microsomal stability: identification of good and bad structural features for rat, human and mouse microsomal stability. Journal of Computer-Aided Molecular Design. 24(1). 23–35. 36 indexed citations
5.
Brooijmans, Natasja, Dominick Mobilio, Gary Walker, et al.. (2009). A structural informatics approach to mine kinase knowledge bases. Drug Discovery Today. 15(5-6). 203–209. 7 indexed citations
6.
Lovering, Frank, Jack Bikker, & Christine Humblet. (2009). Escape from Flatland: Increasing Saturation as an Approach to Improving Clinical Success. Journal of Medicinal Chemistry. 52(21). 6752–6756. 3242 indexed citations breakdown →
7.
Hayward, Matthew M., Jack Bikker, John W. Ellingboe, et al.. (2009). Lead-Seeking Approaches. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
8.
Bikker, Jack, Natasja Brooijmans, Allan Wissner, & Tarek S. Mansour. (2009). Kinase Domain Mutations in Cancer: Implications for Small Molecule Drug Design Strategies. Journal of Medicinal Chemistry. 52(6). 1493–1509. 136 indexed citations
9.
Dounay, Amy B., Nancy S. Barta, Jack Bikker, et al.. (2008). Synthesis and pharmacological evaluation of aminopyrimidine series of 5-HT1A partial agonists. Bioorganic & Medicinal Chemistry Letters. 19(4). 1159–1163. 10 indexed citations
10.
Shim, Jaechul, et al.. (2008). Direct Oxa-Pictet−Spengler Cyclization to the Natural (3a,5)-trans-Stereochemistry in the Syntheses of (+)-7-Deoxyfrenolicin B and (+)-7-Deoxykalafungin. The Journal of Organic Chemistry. 74(1). 423–426. 35 indexed citations
11.
Bikker, Jack, et al.. (2000). Design and biological evaluation of non-peptide analogues of omega-conotoxin MVIIA. Bioorganic & Medicinal Chemistry Letters. 10(4). 345–347. 39 indexed citations
12.
Bikker, Jack, et al.. (1998). Synthesis of a non-peptide analogue of omega-conotoxin MVIIA. Tetrahedron Letters. 39(41). 7619–7622. 24 indexed citations
13.
Bikker, Jack, Susanne Trumpp-Kallmeyer, & Christine Humblet. (1998). G-Protein Coupled Receptors:  Models, Mutagenesis, and Drug Design. Journal of Medicinal Chemistry. 41(16). 2911–2927. 100 indexed citations
14.
Haskell‐Luevano, Carrie, Tomi K. Sawyer, Susanne Trumpp-Kallmeyer, et al.. (1996). Three-dimensional molecular models of the hMC1R melanocortin receptor: complexes with melanotropin peptide agonists.. PubMed. 14(3). 197–211. 61 indexed citations
15.
Chung, Fu‐Zon, Yuan Tian, Maida Vartanian, et al.. (1995). Two classes of structurally different antagonists display similar species preference for the human tachykinin neurokinin3 receptor.. Molecular Pharmacology. 48(4). 711–716. 39 indexed citations
16.
Bikker, Jack, Julia Kubanek, & Donald F. Weaver. (1994). Quantum Pharmacologic Studies Applicable to the Design of Anticonvulsants: Theoretical Conformational Analysis and Structure‐Activity Studies of Barbiturates. Epilepsia. 35(2). 411–425. 10 indexed citations
17.
Bikker, Jack & Donald F. Weaver. (1993). Theoretical studies applicable to the design of novel anticonvulsants. Journal of Molecular Structure THEOCHEM. 281(2-3). 173–184. 17 indexed citations
18.
Bikker, Jack & Donald F. Weaver. (1992). Theoretical studies applicable to the design of novel anticonvulsants: an AM1 molecular orbital structure–activity study of dihydropyridine calcium channel antagonists. Canadian Journal of Chemistry. 70(9). 2449–2460. 10 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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