Lynnette Marcar

903 citations
12 papers · 664 · h-index 11

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Peptidase Inhibition and Analysis
    • Immunotherapy and Immune Responses

Papers in

    • Ubiquitin and proteasome pathways 3
    • RNA Interference and Gene Delivery 2
    • Connexins and lens biology 1
    • Cancer-related Molecular Pathways 5
    • PARP inhibition in cancer therapy 2
    • Peptidase Inhibition and Analysis 1

Lynnette Marcar

12 papers receiving 661 citations

Peers

Lynnette Marcar
Comparison fields: 5 of 68
  • Oncology 320
  • Immunology 211
  • Molecular Biology 433
  • Cancer Research 76
  • Pathology and Forensic Medicine 80
Replace Maria Scatolini with:
Maria Scatolini Italy
Ji‐Shiang Hung Taiwan
Amir Hossein Daneshmanesh Sweden
Roelof J.C. Kluin Netherlands
Jin-Ping Lai United States
Theresa A. Proia United States
Jill M. Westcott United States
Caner Saygin United States
Heath A. Smith United States
Urszula M. Polanska United Kingdom
Lynnette Marcar relative to Maria Scatolini Italy Maria Scatolini's profile →
Citations per field
00.5×1.5×
Maria Scatolini · 1×
Citations per year

Countries citing papers authored by Lynnette Marcar

Since Specialization
Citations

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

Fields of papers citing papers by Lynnette Marcar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010127
2 201098
3 201777
4 201273
5 200871
6 200957
7 201949
8 201848
9 201538
10 202111
11 202310
12 20195

About Lynnette Marcar

Lynnette Marcar is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Surgery, having authored 12 papers that have together received 664 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Immunotherapy and Immune Responses (3 papers), Ubiquitin and proteasome pathways (3 papers), PARP inhibition in cancer therapy (2 papers), RNA Interference and Gene Delivery (2 papers), Peptidase Inhibition and Analysis (1 paper), Coronary Interventions and Diagnostics (1 paper) and Connexins and lens biology (1 paper). The work is most often cited by research in Oncology (320 citations), Immunology (211 citations), Molecular Biology (433 citations), Cancer Research (76 citations) and Pathology and Forensic Medicine (80 citations). Lynnette Marcar has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include David W. Meek, Ted R. Hupp, Nicola J. MacLaine, Diane Milne, Frances V. Fuller-Pace, Qi Liu, Henning Willers, Neil D. Perkins, Mark K. Saville and Jean‐Christophe Bourdon. Their work appears in journals such as Cancer Research, Cell Cycle, Cancer Letters, FEBS Letters and Journal of Biological Chemistry.

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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