James R. Lambert

1.4k citations
44 papers · 1.1k · h-index 21

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • Protein Tyrosine Phosphatases 3
    • Genomics and Chromatin Dynamics 3
    • Estrogen and related hormone effects 11

James R. Lambert

41 papers receiving 1.1k citations

Peers

James R. Lambert
Comparison fields: 5 of 92
  • Rheumatology 183
  • Cancer Research 136
  • Molecular Biology 548
  • Urology 45
  • Biotechnology 69
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Minsub Shim United States
Xiaohong Fan China
Tomoko Fukushige Japan
Yuping Tang United States
Michelle Aszterbaum United States
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Hitomi Fujisaki Japan
Junchen Liu China
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Citations per field
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Citations per year

Countries citing papers authored by James R. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by James R. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Aberrant HOXC expression accompanies the malignant phenotype in human prostate.
2003139
2 200883
3 200670
4 202061
5 200755
6 201853
7 200850
8 201347
9
Comparative and combined effects of interleukin 6, interleukin 1 beta, and tumor necrosis factor alpha on proteoglycan metabolism of human articular chondrocytes cultured in agarose.
199442
10 199441
11 201040
12 201640
13 200740
14 200835
15 199835
16 201231
17 201329
18 201428
19 200323
20 201022

About James R. Lambert

James R. Lambert is a scholar working on Molecular Biology, Genetics, Rheumatology, Immunology and Pathology and Forensic Medicine, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), GDF15 and Related Biomarkers (7 papers), Vitamin D Research Studies (6 papers), Ubiquitin and proteasome pathways (3 papers), Prostate Cancer Treatment and Research (3 papers), Protein Tyrosine Phosphatases (3 papers), Genomics and Chromatin Dynamics (3 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Rheumatology (183 citations), Cancer Research (136 citations), Molecular Biology (548 citations), Urology (45 citations) and Biotechnology (69 citations). James R. Lambert has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include M. Scott Lucia, Steven K. Nordeen, Julie Kelly, Rahul Ray, Vanessa Soto‐Cerrato, Francesc Viñals, Ricardo Pérez‐Tomás, Priya N. Werahera, Gary J. Miller and Paula Desplats. Their work appears in journals such as Cancer Letters, Biophysical Chemistry, PLoS ONE, Molecular Cancer Research and The Prostate.

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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