M. Lau

5.9k citations
40 papers · 1.3k indexed · h-index 16
    • Renal Transplantation Outcomes and Treatments 5
  • Immunology top 10%
    • T-cell and B-cell Immunology 22
    • Immune Cell Function and Interaction 15
    • Immunotherapy and Immune Responses 9
    • Anesthesia and Sedative Agents 4
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation 7
  • Genetics top 10%
    • Virus-based gene therapy research 2
    • Anesthesia and Pain Management 3

M. Lau

38 papers receiving 1.2k citations

Peers

M. Lau
Comparison fields: 5 of 88
  • Transplantation 93
  • Immunology 422
  • Anesthesiology and Pain Medicine 75
  • Hematology 139
  • Genetics 311
Replace D. J. Bowen with:
D. J. Bowen United Kingdom
Minoru Hojo Japan
Konstantinos Voskarides Cyprus
Catherine C. Robertson Canada
L Perroni Italy
Nella Fisicaro Australia
L A Valdivia United States
Sanjeevkumar R. Patel United States
Gerd Müller Germany
Amos Fein Israel
M. Lau relative to D. J. Bowen United Kingdom D. J. Bowen's profile →
Citations per field
00.5×10×15.5×
D. J. Bowen · 1×
Citations per year

Countries citing papers authored by M. Lau

Since Specialization
Citations

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

Fields of papers citing papers by M. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20112
4 2009156
5 200515
6 20045
7 20048
8 200333
9 20033
10 200314
11 20018
12 200123
13 200117
14 20007
15 199915
16 199915
17 19966
18 199318
19 198812
20 198856

About M. Lau

M. Lau is a scholar working on Transplantation, Immunology, Anesthesiology and Pain Medicine, Hematology and Developmental Neuroscience, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (9 papers), Hematopoietic Stem Cell Transplantation (7 papers), Renal Transplantation Outcomes and Treatments (5 papers), Anesthesia and Sedative Agents (4 papers), Anesthesia and Pain Management (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Transplantation (93 citations), Immunology (422 citations), Anesthesiology and Pain Medicine (75 citations), Hematology (139 citations) and Genetics (311 citations). M. Lau has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Colin L. Stewart, Claire E. Stewart, Zhi Liu, Peter Rotwein, Harshida Bhatt, H. Noreen, Carolyn Katovich Hurley, Elizabeth F. Neufeld, Martin Maiers and Steven G. E. Marsh. Their work appears in journals such as Human Immunology, Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics, European Journal of Clinical Nutrition and Journal of Allergy and Clinical Immunology.

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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