J. Heykants

70 total papers · 2.7k total citations
59 papers, 2.2k citations indexed

About

J. Heykants is a scholar working on Pharmacology, Molecular Biology and Pharmacology. According to data from OpenAlex, J. Heykants has authored 59 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pharmacology, 18 papers in Molecular Biology and 14 papers in Pharmacology. Recurrent topics in J. Heykants's work include Antibiotics Pharmacokinetics and Efficacy (18 papers), Drug Transport and Resistance Mechanisms (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). J. Heykants is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (18 papers), Drug Transport and Resistance Mechanisms (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). J. Heykants collaborates with scholars based in Belgium, United States and Netherlands. J. Heykants's co-authors include M. Michiels, W. Meuldermans, R. Hendriks, Robert Woestenborghs, Paul A. J. Janssen, M. Janssen, J Brugmans, Koen Andries, Erik De Clercq and Henry J. Breslin and has published in prestigious journals such as Nature, Antimicrobial Agents and Chemotherapy and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

J. Heykants

59 papers receiving 2.1k citations

Hit Papers

Potent and selective inhi... 1990 2026 2002 2014 1990 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Heykants 649 499 496 310 271 59 2.2k
Kelem Kassahun 362 0.6× 185 0.4× 590 1.2× 514 1.7× 260 1.0× 40 1.7k
Petrie M. Rainey 772 1.2× 240 0.5× 409 0.8× 200 0.6× 113 0.4× 85 2.6k
F. Douglas Boudinot 578 0.9× 347 0.7× 536 1.1× 261 0.8× 53 0.2× 97 2.1k
Don K. Walker 375 0.6× 129 0.3× 632 1.3× 385 1.2× 152 0.6× 40 2.2k
Kenneth C. Cundy 839 1.3× 486 1.0× 676 1.4× 111 0.4× 99 0.4× 54 3.0k
Scott Penzak 1.0k 1.6× 223 0.4× 467 0.9× 548 1.8× 142 0.5× 99 3.1k
Y. A. Hekster 622 1.0× 330 0.7× 205 0.4× 217 0.7× 407 1.5× 116 2.3k
Yechiel A. Hekster 753 1.2× 481 1.0× 175 0.4× 137 0.4× 548 2.0× 73 2.7k
Kimberly K. Adkison 403 0.6× 308 0.6× 366 0.7× 434 1.4× 74 0.3× 42 1.7k
Marta Valle 433 0.7× 226 0.5× 225 0.5× 180 0.6× 76 0.3× 78 2.4k

Countries citing papers authored by J. Heykants

Since Specialization
Citations

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

Fields of papers citing papers by J. Heykants

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Heykants

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

All Works

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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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