Annette Lam

1.6k citations
82 papers · 1.0k · h-index 16

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 53
    • Protein Degradation and Inhibitors 8
    • Cancer therapeutics and mechanisms 5

Annette Lam

79 papers receiving 1.0k citations

Peers

Annette Lam
Comparison fields: 5 of 71
  • Hematology 627
  • Psychiatry and Mental health 147
  • Oncology 268
  • Genetics 54
  • Molecular Biology 362
Replace Shirshendu Sinha with:
Shirshendu Sinha United States
Sachiko Suzuki Japan
Katharine Harding United Kingdom
Nicole Laferriere Canada
M. Boggild United Kingdom
Alex Mercer United States
Bang‐Ning Lee United States
Karen A. Osborne United States
Nader Al‐Dewik Qatar
Enrique Fernández-Bustillo Spain
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Citations per field
00.5×11.3×
Shirshendu Sinha · 1×
Citations per year

Countries citing papers authored by Annette Lam

Since Specialization
Citations

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

Fields of papers citing papers by Annette Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020239
2 2009123
3 2016108
4 202075
5 199830
6 202030
7 201724
8 200322
9 199822
10 202222
11 201021
12 200020
13 200718
14 201818
15 200618
16 202317
17 202115
18 201713
19 200513
20 202110

About Annette Lam

Annette Lam is a scholar working on Hematology, Molecular Biology, Oncology, Psychiatry and Mental health and Pathology and Forensic Medicine, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (53 papers), Cancer Treatment and Pharmacology (9 papers), Schizophrenia research and treatment (9 papers), Protein Degradation and Inhibitors (8 papers), Cancer Mechanisms and Therapy (8 papers), Statistical Methods in Clinical Trials (6 papers), Peptidase Inhibition and Analysis (5 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Hematology (627 citations), Psychiatry and Mental health (147 citations), Oncology (268 citations), Genetics (54 citations) and Molecular Biology (362 citations). Annette Lam has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Jianming He, Saad Z. Usmani, Maneesha Mehra, Sarah Côté, Ravi Potluri, Meletios Α. Dimopoulos, Joris Diels, Mahmoud Hashim, Jon Ukropec and Bart Heeg. Their work appears in journals such as Blood, Value in Health, Advances in Therapy, Journal of Pharmacology and Experimental Therapeutics and European Psychiatry.

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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