Lawrence Charnas

4.4k citations
54 papers · 2.7k indexed · h-index 27

Impact in

Papers in

Lawrence Charnas

54 papers receiving 2.7k citations

Peers

Lawrence Charnas
Comparison fields: 5 of 104
  • Genetics 463
  • Clinical Biochemistry 211
  • Biochemistry 211
  • Genetics 724
  • Pathology and Forensic Medicine 378
Replace Maja Di Rocco with:
Maja Di Rocco Italy
Grazia M.S. Mancini Netherlands
Vardiella Meiner Israel
Thomas C. Markello United States
Roseline Froissart France
Christopher R. Pierson United States
D. Scott McLeod United States
Dau‐Ming Niu Taiwan
Majid Alfadhel Saudi Arabia
Stavit A. Shalev Israel
Lawrence Charnas relative to Maja Di Rocco Italy Maja Di Rocco's profile →
Citations per field
00.5×2.8×
Maja Di Rocco · 1×
Citations per year

Countries citing papers authored by Lawrence Charnas

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Charnas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20228
2 201132
3 2008202
4 200799
5 200785
6 200719
7 200768
8 200442
9 200329
10 20034
11 199744
12 199526
13 19957
14 199466
15 19945
16 199335
17 199359
18 199211
19 199118
20 1988347

About Lawrence Charnas

Lawrence Charnas is a scholar working on Clinical Biochemistry, Biochemistry, Pathology and Forensic Medicine, Cell Biology and Physiology, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Biomedical Research and Pathophysiology (10 papers), Muscle Physiology and Disorders (7 papers), Metabolism and Genetic Disorders (6 papers), Lysosomal Storage Disorders Research (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cellular transport and secretion (5 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Genetics (463 citations), Clinical Biochemistry (211 citations), Biochemistry (211 citations), Genetics (724 citations) and Pathology and Forensic Medicine (378 citations). Lawrence Charnas has collaborated with scholars based in United States, Canada and Cameroon. Frequent co-authors include Paul J. Orchard, Elsa Shapiro, William A. Gahl, Joan C. Marini, Jakub Tolar, Gregory F. Meyers, Jen-i Mao, Ethylin Wang Jabs, Michael Jaye and Xiang Li. Their work appears in journals such as Molecular Genetics and Metabolism, Bone Marrow Transplantation, The Journal of Pediatrics, Neurology and Neuromuscular Disorders.

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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