John C. Lukas

5.4k citations
50 papers · 1.0k · h-index 17

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 4
    • Pneumonia and Respiratory Infections 3
    • Mycobacterium research and diagnosis 3

John C. Lukas

49 papers receiving 965 citations

Peers

John C. Lukas
Comparison fields: 5 of 119
  • Transplantation 53
  • Small Animals 116
  • Anesthesiology and Pain Medicine 55
  • Pharmacology 65
  • Pediatrics, Perinatology and Child Health 119
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Citations per field
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Citations per year

Countries citing papers authored by John C. Lukas

Since Specialization
Citations

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

Fields of papers citing papers by John C. Lukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Lukas. 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 John C. Lukas. The network helps show where John C. Lukas may publish in the future.

Co-authors

The 25 scholars most cited alongside John C. Lukas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John C. Lukas Line = papers co-authored together John C. Lukas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
16S rDNA-based identification of bacteria from conjunctival swabs by PCR and DGGE fingerprinting.
200198
2 200294
3 200688
4 199077
5 200468
6 200565
7 200540
8 201234
9 200924
10 201324
11 201823
12 199222
13
The interleukin-6-174 promoter polymorphism is associated with a risk of development of Kaposi's sarcoma in renal transplant recipients.
200420
14 200420
15 200418
16 201818
17 200517
18
TOXOPLASMA GONDII IN A COLLECTION OF NONDOMESTIC RUMINANTS
199016
19 200214
20 200414

About John C. Lukas

John C. Lukas is a scholar working on Oncology, Epidemiology, Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Anesthesia and Sedative Agents (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Pneumonia and Respiratory Infections (3 papers), Mycobacterium research and diagnosis (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Transplantation (53 citations), Small Animals (116 citations), Anesthesiology and Pain Medicine (55 citations), Pharmacology (65 citations) and Pediatrics, Perinatology and Child Health (119 citations). John C. Lukas has collaborated with scholars based in Spain, United States and Greece. Frequent co-authors include Elena Suárez, Rosario Calvo, David E. Wildt, Mónica Rodríguez, Maria Gazouli, Janine L. Brown, K. Ziegler, Nadja Wielebnowski, Dolores Santos Buelga and Antonio Torres. Their work appears in journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences, European Journal of Clinical Pharmacology, Journal of Pharmacy and Pharmacology and International Journal of Antimicrobial Agents.

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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