Lilly Mark

22 papers receiving 1.9k citations

Peers

Lilly Mark
Comparison fields: 5 of 81
  • Pharmacology 825
  • Sensory Systems 183
  • Physiology 406
  • Molecular Medicine 89
  • Rheumatology 93
Replace Paula Morales with:
Paula Morales Spain
Gihyun Lee South Korea
Rocco Latorre United States
Birgit T. Priest United States
Haleli Sharir United States
Gitta Neufang Germany
Tomáš Drmota United Kingdom
Jing Yao China
Iku Utsunomiya Japan
Su‐Hua Sha United States
Lilly Mark relative to Paula Morales Spain Paula Morales's profile →
Citations per field
00.5×2×4×6×8×9.3×
Paula Morales · 1×
Citations per year

Countries citing papers authored by Lilly Mark

Since Specialization
Citations

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

Fields of papers citing papers by Lilly Mark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lilly Mark, 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 Lilly Mark Line = papers co-authored together Lilly Mark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010399
2 2005251
3 2003228
4 2010196
5 2004144
6 2010112
7 2007108
8 2015107
9 200582
10 201356
11 201347
12 201643
13 201039
14 200628
15 200423
16 200923
17 202312
18 201010
19 20119
20 20219

About Lilly Mark

Lilly Mark is a scholar working on Pharmacology, Infectious Diseases, Physiology, Organic Chemistry and Sensory Systems, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (7 papers), Pain Mechanisms and Treatments (7 papers), Cannabis and Cannabinoid Research (4 papers), Synthesis and biological activity (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Antimicrobial Peptides and Activities (1 paper), Structural and Chemical Analysis of Organic and Inorganic Compounds (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Pharmacology (825 citations), Sensory Systems (183 citations), Physiology (406 citations), Molecular Medicine (89 citations) and Rheumatology (93 citations). Lilly Mark has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Garth T. Whiteside, James Harrison, Katharine M. Walker, Kenneth J. Valenzano, Michelle S. Pearson, Susan L. Gottshall, Jamie M. Boulet, James D. Pomonis, Edmond J. LaVoie and Daniel S. Pilch. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Pharmacology and Experimental Therapeutics, Neuropharmacology, Journal of Medicinal Chemistry and British Journal of Pharmacology.

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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