Lydia Tam

2.7k citations
18 papers · 804 indexed · 1 hit paper · h-index 8
Topics
Glioma Diagnosis and Treatment (5 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Cardiac Valve Diseases and Treatments (2 papers)
Partner nations
United StatesCanadaIran

In The Last Decade

Lydia Tam

15 papers receiving 795 citations

Hit Papers

Targeting neuronal activity-regulated neuroligin-3 depend...20172026202020232017100200300

Peers

Lydia Tam
Comparison fields: 5 of 90
  • Genetics 280
  • Molecular Biology 187
  • Pulmonary and Respiratory Medicine 163
  • Neurology 163
  • Cellular and Molecular Neuroscience 133
Replace Lijun Ni with:
Lijun Ni United States
Marie Kalm Sweden
Iska Moxon‐Emre Canada
Jacob J. Greene United States
Hyun Sook Kim South Korea
Dana Greene-Schloesser United States
Alfia Khaibullina United States
Jöerg Dietrich United States
Eugenio Gutiérrez‐Jiménez Denmark
Andrea C. Pardo United States
Lydia Tam relative to Lijun Ni United States Lijun Ni's profile →
Citations per field
00.5×3.3×
Lijun Ni · 1×
Citations per year

Countries citing papers authored by Lydia Tam

Since Specialization
Citations

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

Fields of papers citing papers by Lydia Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lydia Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Lydia Tam. A scholar is included among the top collaborators of Lydia Tam 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 Lydia Tam. Lydia Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 65
3 13
4 3
5 63
6 3
7 10
8 14
9 1
10 34
11 1
12 0
13 0
14 241
15
Targeting neuronal activity-regulated neuroligin-3 dependency in high-grade gliomabreakdown →
352
16 0
17 2
18 1

About Lydia Tam

Lydia Tam is a scholar working on Genetics, Neurology and Sensory Systems, having authored 18 papers that have together received 804 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Genetics (280 citations), Developmental Neuroscience (106 citations) and Neurology (163 citations). Lydia Tam has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Michelle Monje, Pamelyn J. Woo, Surya Nagaraja, Jing Ni, Craig J. Thomas, Shawn Gillespie, Jean J. Zhao, James Lennon, Humsa S. Venkatesh and Damien Duveau. Their work appears in journals such as Nature, Cell and Nature Neuroscience.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026