Norris Lam

2.5k citations
36 papers · 1.7k · 1 hit paper · h-index 16

Impact in

  • Oncology top 2%
    • CAR-T cell therapy research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

Norris Lam

35 papers receiving 1.6k citations

Norris Lam's Hit Papers

T Cells Genetically Modified to Express an Anti–B-Cell Maturation Antigen Chimeric Antigen Receptor Cause Remissions of Poor-Prognosis Relapsed Multiple Myeloma 2018 · 580 citations
5800+2+5Years since publication100200300400500

Peers

Norris Lam
Comparison fields: 5 of 89
  • Oncology 1.2k
  • Hematology 244
  • Immunology 330
  • Genetics 291
  • Molecular Biology 616
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Norris Lam relative to Sonny Ang United States Sonny Ang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Norris Lam

Since Specialization
Citations

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

Fields of papers citing papers by Norris Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
T Cells Genetically Modified to Express an Anti–B-Cell Maturation Antigen Chimeric Antigen Receptor Cause Remissions of Poor-Prognosis Relapsed Multiple Myeloma
Hit paper breakdown →
2018580
2 2020242
3 2017207
4 202098
5 202085
6 201779
7 201351
8 201649
9 202037
10 201934
11 202229
12 201521
13 201521
14 201919
15 201619
16 202015
17 201513
18 202312
19 20209
20 20158

About Norris Lam

Norris Lam is a scholar working on Oncology, Molecular Biology, Ecology, Immunology and Environmental Engineering, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Hydrology and Sediment Transport Processes (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Neuroblastoma Research and Treatments (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Remote Sensing and LiDAR Applications (4 papers), Hydrology and Watershed Management Studies (4 papers) and Ophthalmology and Visual Impairment Studies (3 papers). The work is most often cited by research in Oncology (1.2k citations), Hematology (244 citations), Immunology (330 citations), Genetics (291 citations) and Molecular Biology (616 citations). Norris Lam has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include James N. Kochenderfer, Steven A. Feldman, Jennifer N. Brudno, David F. Stroncek, Rashmika Patel, Lekha Mikkilineni, Ronald E. Gress, Jeremy J. Rose, Brenna Hansen and Susan J. Leat. Their work appears in journals such as Blood, Molecular Therapy, Water, Canadian Journal of Ophthalmology and Journal of Clinical Oncology.

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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