JM Lambert

1.0k citations
19 papers · 921 · h-index 15

Impact in

Papers in

    • Toxin Mechanisms and Immunotoxins 16
    • Immunotherapy and Immune Responses 3
    • Galectins and Cancer Biology 2
    • T-cell and B-cell Immunology 2
    • Neuroblastoma Research and Treatments 7

JM Lambert

19 papers receiving 870 citations

Peers

JM Lambert
Comparison fields: 5 of 55
  • Biotechnology 332
  • Immunology 620
  • Radiology, Nuclear Medicine and Imaging 288
  • Genetics 102
  • Hematology 107
Replace V S Goldmacher with:
V S Goldmacher United States
Maria-Ana Ghetie United States
Lisa K. Gilliland United States
Jayshree J. Nadkarni India
Martin H. Goldrosen United States
K A Krolick United States
Radmila Moudry Switzerland
Masako Wakitani Japan
Zhinan Xia United States
Sonia Sirlin United States
JM Lambert relative to V S Goldmacher United States V S Goldmacher's profile →
Citations per field
00.5×1.5×
V S Goldmacher · 1×
Citations per year

Countries citing papers authored by JM Lambert

Since Specialization
Citations

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

Fields of papers citing papers by JM Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1992144
2 1993140
3
An immunotoxin prepared with blocked ricin: a natural plant toxin adapted for therapeutic use.
1991111
4 199382
5 199466
6 199457
7 199156
8 199755
9 198640
10 199536
11 198932
12 199623
13 198922
14 198521
15 198518
16 19928
17 19854
18 19913
19 19933

About JM Lambert

JM Lambert is a scholar working on Immunology, Neurology, Biotechnology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 921 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (16 papers), Neuroblastoma Research and Treatments (7 papers), Transgenic Plants and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers), Galectins and Cancer Biology (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biotechnology (332 citations), Immunology (620 citations), Radiology, Nuclear Medicine and Imaging (288 citations), Genetics (102 citations) and Hematology (107 citations). JM Lambert has collaborated with scholars based in United States. Frequent co-authors include V S Goldmacher, W A Blättler, L Eliseo, Jerome Ritz, F Coral, N Spector, Albert R. Collinson, AS Freedman, Lee M. Nadler and KC Anderson. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Clinical Oncology, Molecular Pharmacology and PubMed.

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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