Janet Lam

23 papers receiving 623 citations

Peers

Janet Lam
Comparison fields: 5 of 82
  • Experimental and Cognitive Psychology 127
  • Critical Care and Intensive Care Medicine 30
  • Anesthesiology and Pain Medicine 27
  • Biomedical Engineering 197
  • Psychiatry and Mental health 56
Replace C. Bucca with:
C. Bucca Italy
Massimiliano Mazzolini Italy
Henry M. Fox United States
Rosane Sampaio Santos Brazil
Michael Platt United Kingdom
Sheng Xu China
Zubia Veqar India
Giovani dos Santos Cunha Brazil
Yuto Tashiro Japan
Stephanie Jones United States
Janet Lam relative to C. Bucca Italy C. Bucca's profile →
Citations per field
00.5×8.6×
C. Bucca · 1×
Citations per year

Countries citing papers authored by Janet Lam

Since Specialization
Citations

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

Fields of papers citing papers by Janet Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003149
2 2011106
3 200369
4 200153
5 200147
6 201547
7 199934
8 201128
9 199924
10 199823
11 199916
12 201613
13 201512
14 20237
15 20187
16 20075
17 20204
18 20163
19 20212
20 20192

About Janet Lam

Janet Lam is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Surgery, Epidemiology and Pathology and Forensic Medicine, having authored 24 papers that have together received 654 indexed citations. Recurring topics across this work include Sleep and related disorders (5 papers), Sleep and Wakefulness Research (4 papers), Patient Satisfaction in Healthcare (2 papers), Multiple Sclerosis Research Studies (2 papers), Neuroscience of respiration and sleep (2 papers), Biofuel production and bioconversion (2 papers), Patient-Provider Communication in Healthcare (1 paper) and Lymphatic Disorders and Treatments (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (127 citations), Critical Care and Intensive Care Medicine (30 citations), Anesthesiology and Pain Medicine (27 citations), Biomedical Engineering (197 citations) and Psychiatry and Mental health (56 citations). Janet Lam has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include E. Mark Mahone, Steve S. Helle, Sheldon J.B. Duff, Thornton B.A. Mason, Steven M. Scharf, David Cameron, Lee A. Fleisher, Heather E. Schneider, Joseph D. Tobias and David R. Cameron. Their work appears in journals such as Anesthesia & Analgesia, Behavioral Sleep Medicine, Journal of Attention Disorders, Pediatric Pulmonology and Enzyme and Microbial Technology.

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.

Explore authors with similar magnitude of impact