Suzanne Lam

2.2k citations
22 papers · 1.3k indexed · h-index 16

Impact in

Papers in

    • Parathyroid Disorders and Treatments 2
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Suzanne Lam

22 papers receiving 1.3k citations

Peers

Suzanne Lam
Comparison fields: 5 of 97
  • Oncology 530
  • Ophthalmology 158
  • Cellular and Molecular Neuroscience 257
  • Molecular Biology 838
  • Biotechnology 91
Replace Yuji Gunji with:
Yuji Gunji Japan
Shentong Fang Finland
Lauri Miller United States
Dianne Mitchell United States
James M. Dunn Canada
Inga Sörensen Germany
Lori C. Gowen United States
Satoru Osuka Japan
P. V. Steart United Kingdom
Kaori Fujita Japan
Suzanne Lam relative to Yuji Gunji Japan Yuji Gunji's profile →
Citations per field
00.5×4.1×
Yuji Gunji · 1×
Citations per year

Countries citing papers authored by Suzanne Lam

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202311
2 20208
3 201934
4 201879
5 201612
6 201516
7 201421
8 20143
9 201321
10 201044
11 200915
12 200866
13 200619
14 2006453
15 200671
16 200515
17 200437
18 200337
19 200391
20 2002272

About Suzanne Lam

Suzanne Lam is a scholar working on Nephrology, Neurology, Oncology, Developmental Neuroscience and Ophthalmology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Alzheimer's disease research and treatments (4 papers), TGF-β signaling in diseases (4 papers), Connective Tissue Growth Factor Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Epigenetics and DNA Methylation (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Oncology (530 citations), Ophthalmology (158 citations), Cellular and Molecular Neuroscience (257 citations), Molecular Biology (838 citations) and Biotechnology (91 citations). Suzanne Lam has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Shihua Li, Ann‐Lii Cheng, Xiao‐Jiang Li, Amina F.A.S. Teunisse, Li He, Hui Zhou, Aart G. Jochemsen, Nicole A.M. Verhagen, Cees van Kooten and Dianna A. Johnson. Their work appears in journals such as Acta Neuropathologica Communications, Molecular and Cellular Biology, Alzheimer s & Dementia, British Journal of Cancer and Diabetes.

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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