Du Lam

2.0k citations
11 papers · 1.6k · 1 hit paper · h-index 7

Impact in

  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism
    • Autophagy in Disease and Therapy

Papers in

    • Autophagy in Disease and Therapy 3
    • Neuroendocrine Tumor Research Advances 2
    • Hemoglobinopathies and Related Disorders 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

Du Lam

11 papers receiving 1.6k citations

Du Lam's Hit Papers

ULK1·ATG13·FIP200 Complex Mediates mTOR Signaling and Is Essential for Autophagy 2009 · 1.2k citations
1.2k0+5+11Years since publication2505007501000

Peers

Du Lam
Comparison fields: 5 of 92
  • Physiology 200
  • Epidemiology 1.1k
  • Geriatrics and Gerontology 71
  • Cell Biology 293
  • Aging 23
Replace Valentina Cianfanelli with:
Valentina Cianfanelli Italy
Melanie R. Loyd United States
Jens Füllgrabe Sweden
Sunandini Sridhar United States
Agnes Roczniak-Ferguson United States
Constance Petit France
Conrad C. Weihl United States
Ahmet Uçar United Kingdom
Robert Köchl United Kingdom
Brittany Angarola United States
Du Lam relative to Valentina Cianfanelli Italy Valentina Cianfanelli's profile →
Citations per field
00.5×1.5×
Valentina Cianfanelli · 1×
Citations per year

Countries citing papers authored by Du Lam

Since Specialization
Citations

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

Fields of papers citing papers by Du Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
ULK1·ATG13·FIP200 Complex Mediates mTOR Signaling and Is Essential for Autophagy
Hit paper breakdown →
20091198
2 2012180
3 201697
4 199979
5 201921
6 20217
7 20157
8 20156
9 20132
10 20161
11 20201

About Du Lam

Du Lam is a scholar working on Epidemiology, Genetics, Hematology, Molecular Biology and Neurology, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Autophagy in Disease and Therapy (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Iron Metabolism and Disorders (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Physiology (200 citations), Epidemiology (1.1k citations), Geriatrics and Gerontology (71 citations), Cell Biology (293 citations) and Aging (23 citations). Du Lam has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Xuejun Jiang, Ian G. Ganley, Xiaojun Ding, Junru Wang, She Chen, Noor Gammoh, Paul A. Marks, Xianfeng Zhao, David S. Chervinsky and Peter D. Aplan. Their work appears in journals such as Journal of Clinical Oncology, Blood, Neurology, Autophagy and Proceedings of the National Academy of Sciences.

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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