Jcw Mak

7.7k citations
174 papers · 6.1k indexed · h-index 44

Impact in

Papers in

Jcw Mak

170 papers receiving 5.9k citations

Peers

Jcw Mak
Comparison fields: 5 of 139
  • Physiology 2.5k
  • Endocrine and Autonomic Systems 495
  • Pulmonary and Respiratory Medicine 2.0k
  • Cellular and Molecular Neuroscience 874
  • Molecular Biology 2.3k
Replace Stephen M. Black with:
Stephen M. Black United States
Praveen Ballabh United States
Fumitaka Ushikubi Japan
Charles Advenier France
Matthias Barton Switzerland
Francesco Rossi Italy
Julio Cortijo Spain
Akira Sugawara Japan
Domenico Spina United Kingdom
Ákos Heinemann Austria
Jcw Mak relative to Stephen M. Black United States Stephen M. Black's profile →
Citations per field
00.5×1.5×2.1×
Stephen M. Black · 1×
Citations per year

Countries citing papers authored by Jcw Mak

Since Specialization
Citations

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

Fields of papers citing papers by Jcw Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20237
3 202210
4 201831
5 20186
6 201738
7 201730
8 2014237
9 200939
10 200750
11 200663
12 200137
13 1997104
14 19963
15 199533
16 199587
17 199443
18 199439
19 199427
20 1990182

About Jcw Mak

Jcw Mak is a scholar working on Physiology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 174 papers that have together received 6.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (50 papers), Receptor Mechanisms and Signaling (43 papers), Neonatal Respiratory Health Research (24 papers), Neuropeptides and Animal Physiology (23 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (21 papers), Neuroscience of respiration and sleep (17 papers), Ion channel regulation and function (16 papers) and Obstructive Sleep Apnea Research (14 papers). The work is most often cited by research in Physiology (2.5k citations), Endocrine and Autonomic Systems (495 citations), Pulmonary and Respiratory Medicine (2.0k citations), Cellular and Molecular Neuroscience (874 citations) and Molecular Biology (2.3k citations). Jcw Mak has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Peter J. Barnes, Msm Ip, Masanori Nishikawa, Yingmin Liang, Sze C. Yeung, Moira Chan‐Yeung, Hideaki Shirasaki, E B Haddad, Jcm Ho and Kian Fan Chung. Their work appears in journals such as European Journal of Pharmacology, American Journal of Respiratory Cell and Molecular Biology, Respiratory Medicine, British Journal of Pharmacology and Molecular 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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