M. Lam

940 total citations · 1 hit paper
8 papers, 628 citations indexed

About

M. Lam is a scholar working on Molecular Biology, Epidemiology and Psychiatry and Mental health. According to data from OpenAlex, M. Lam has authored 8 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Psychiatry and Mental health. Recurrent topics in M. Lam's work include Toxin Mechanisms and Immunotoxins (1 paper), COVID-19 and Mental Health (1 paper) and Machine Learning in Bioinformatics (1 paper). M. Lam is often cited by papers focused on Toxin Mechanisms and Immunotoxins (1 paper), COVID-19 and Mental Health (1 paper) and Machine Learning in Bioinformatics (1 paper). M. Lam collaborates with scholars based in Hong Kong, China and United States. M. Lam's co-authors include Yun Kwok Wing, Steven Wai Ho Chau, Norman Sartorius, Hairong Nan, Roseanne O. Yeung, Linong Ji, Rose Z.W. Ting, Adam Zemła, Jianping Weng and Yuying Zhang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Affective Disorders.

In The Last Decade

M. Lam

8 papers receiving 607 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mental Morbidities and Chronic Fatigue in Severe Acute Respiratory Syndrome Survivors

2009 514 citations M. Lam Archives of Internal Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Lam Hong Kong	6	396	331	134	133	82	8	628
Katlyn Nemani United States	7	187 0.5×	278 0.8×	97 0.7×	117 0.9×	22 0.3×	8	565
Lidia Klepacz United States	11	234 0.6×	257 0.8×	36 0.3×	73 0.5×	62 0.8×	26	493
Cristiano Magnaghi Italy	7	343 0.9×	219 0.7×	97 0.7×	46 0.3×	122 1.5×	21	491
Sean Lynch United States	8	231 0.6×	262 0.8×	37 0.3×	79 0.6×	56 0.7×	30	404
Emi Bondi Italy	13	120 0.3×	165 0.5×	52 0.4×	95 0.7×	52 0.6×	28	452
Joseph Cotler United States	12	368 0.9×	197 0.6×	59 0.4×	401 3.0×	65 0.8×	21	608
Riccardo Manca United Kingdom	10	132 0.3×	98 0.3×	22 0.2×	158 1.2×	33 0.4×	32	429
Tam Watermeyer United Kingdom	6	127 0.3×	81 0.2×	33 0.2×	77 0.6×	43 0.5×	11	285
Chenxiang Li China	6	117 0.3×	175 0.5×	51 0.4×	103 0.8×	12 0.1×	10	356
Juan Carlos Cejudo Spain	4	244 0.6×	168 0.5×	24 0.2×	107 0.8×	145 1.8×	9	372

Countries citing papers authored by M. Lam

Since Specialization

Citations

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

Fields of papers citing papers by M. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of M. Lam. A scholar is included among the top collaborators of M. Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Lam. M. Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yip, Terry Cheuk‐Fung, Grace Lai–Hung Wong, Yee‐Kit Tse, et al.. (2020). High incidence of hepatocellular carcinoma and cirrhotic complications in patients with psychiatric illness: a territory-wide cohort study. BMC Gastroenterology. 20(1). 128–128. 4 indexed citations

2.

Anvari, Sama, et al.. (2020). EFFECT OF BARIATRIC SURGERY ON NATRIURETIC PEPTIDE LEVELS: A SYSTEMATIC REVIEW AND META ANALYSIS. Canadian Journal of Cardiology. 36(10). S64–S65. 1 indexed citations

3.

Chan, Wai Chi, et al.. (2015). Prevalence of Mental Illness among Homeless People in Hong Kong. PLoS ONE. 10(10). e0140940–e0140940. 17 indexed citations

4.

Zhang, Yuying, Rose Z.W. Ting, M. Lam, et al.. (2013). Measuring depressive symptoms using the Patient Health Questionnaire-9 in Hong Kong Chinese subjects with type 2 diabetes. Journal of Affective Disorders. 151(2). 660–666. 48 indexed citations

5.

Lam, M.. (2009). Mental Morbidities and Chronic Fatigue in Severe Acute Respiratory Syndrome Survivors. Archives of Internal Medicine. 169(22). 2142–2142. 514 indexed citations breakdown →

6.

Lam, M., Steven Wai Ho Chau, & Yun Kwok Wing. (2009). High prevalence of hypokalemia in acute psychiatric inpatients. General Hospital Psychiatry. 31(3). 262–265. 16 indexed citations

7.

Zemła, Adam, Brian V. Geisbrecht, Jarrod A. Smith, et al.. (2007). STRALCP structure alignment-based clustering of proteins. Nucleic Acids Research. 35(22). e150–e150. 22 indexed citations

8.

Zemła, Adam, D. Christopher Roe, Malin M. Young, et al.. (2005). Computational approaches for identification of conserved/unique binding pockets in the A chain of ricin. Computer applications in the biosciences. 21(14). 3089–3096. 6 indexed citations

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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