Charles Liss

1.5k citations
39 papers · 1.0k · h-index 19

Impact in

Papers in

Charles Liss

35 papers receiving 953 citations

Peers

Charles Liss
Comparison fields: 5 of 87
  • Urology 92
  • Orthopedics and Sports Medicine 110
  • Cardiology and Cardiovascular Medicine 230
  • Endocrinology, Diabetes and Metabolism 154
  • Epidemiology 229
Replace André Lussier with:
André Lussier Canada
Henrik Arnell Sweden
Manoj Patel United States
I Bartłomiejczyk Poland
Priyathama Vellanki United States
Hector J. Rodriguez United States
K.V.S. Hari Kumar India
Peter L. Thompson Australia
Liyun Ni United States
Xuemei Ou China
Charles Liss relative to André Lussier Canada André Lussier's profile →
Citations per field
00.5×11.5×
André Lussier · 1×
Citations per year

Countries citing papers authored by Charles Liss

Since Specialization
Citations

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

Fields of papers citing papers by Charles Liss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999135
2 200378
3 199672
4 200269
5 201166
6 200865
7 201058
8 199754
9 199549
10 199646
11 199941
12 199535
13 199634
14
Multicenter controlled study of Sinemet CR vs Sinemet (25/100) in advanced Parkinson's disease.
198925
15 200924
16 199822
17 199618
18 200318
19 199518
20 199115

About Charles Liss

Charles Liss is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Neurology, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Hormonal Regulation and Hypertension (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Pneumonia and Respiratory Infections (3 papers), Urinary Bladder and Prostate Research (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Urology (92 citations), Orthopedics and Sports Medicine (110 citations), Cardiology and Cardiovascular Medicine (230 citations), Endocrinology, Diabetes and Metabolism (154 citations) and Epidemiology (229 citations). Charles Liss has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include David S. Fedson, Jonathan M. Edelman, Christine Byrnes, Eliav Barr, Jane E. Reagan, Steven T. Harris, Rogerio A. Løbo, Gilbert Block, Mary E. Melton and Felicia Cosman. Their work appears in journals such as Clinical Therapeutics, The Prostate, Journal of Cardiovascular Pharmacology and Therapeutics, Atherosclerosis and International Clinical Psychopharmacology.

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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