M. Baker

468 citations
8 papers · 378 · h-index 6

Impact in

Papers in

M. Baker

7 papers receiving 329 citations

Peers

M. Baker
Comparison fields: 5 of 72
  • Dermatology 192
  • Human-Computer Interaction 28
  • Social Psychology 68
  • Biochemistry 17
  • Cell Biology 41
Replace Choon-Ching Ng with:
Choon-Ching Ng United Kingdom
Cong Huang China
 Rich United States
Alexander Winkler Germany
Jin Sol Lee South Korea
Charlie Hewitt United Kingdom
Sang-Jeong Lee South Korea
Arezoo Sadeghzadeh Türkiye
M. Baker relative to Choon-Ching Ng United Kingdom Choon-Ching Ng's profile →
Citations per field
00.5×10×15×20.5×
Choon-Ching Ng · 1×
Citations per year

Countries citing papers authored by M. Baker

Since Specialization
Citations

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

Fields of papers citing papers by M. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside M. Baker, 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 M. Baker Line = papers co-authored together M. Baker links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1996148
2 200596
3 200168
4 200536
5 200514
6
Randomized, controlled, bilateral (split-face) comparison trial of the tolerability and patient preference of adapalene gel 0.1% and tretinoin microsphere gel 0.1% for the treatment of acne vulgaris.
200114
7 20052
8
Acute hepatitis B resulting in hospitalisation in New Zealand.
19960

About M. Baker

M. Baker is a scholar working on Dermatology, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Molecular Biology, having authored 8 papers that have together received 378 indexed citations. Recurring topics across this work include Acne and Rosacea Treatments and Effects (3 papers), Skin Protection and Aging (2 papers), Robotic Path Planning Algorithms (2 papers), Robot Manipulation and Learning (1 paper), Dermatology and Skin Diseases (1 paper), Sensor Technology and Measurement Systems (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Dermatology (192 citations), Human-Computer Interaction (28 citations), Social Psychology (68 citations), Biochemistry (17 citations) and Cell Biology (41 citations). M. Baker has collaborated with scholars based in United States, France and Pakistan. Frequent co-authors include Holly A. Yanco, J. Czernielewski, Martine Bouclier, Sylvie Michel, C.N. Hensby, Alan R. Shalita, Larry E. Millikan, Claire Whitmore, Leonard J. Swinyer and Jonathan Weiss. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, Journal of the American Academy of Dermatology and PubMed.

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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