M Newby

516 citations
10 papers · 422 · h-index 9

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Inflammation biomarkers and pathways
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Chemokine receptors and signaling 3
    • Cancer Cells and Metastasis 3
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 2

M Newby

10 papers receiving 413 citations

Peers

M Newby
Comparison fields: 5 of 57
  • Immunology 232
  • Cancer Research 54
  • Pharmacology 53
  • Oncology 80
  • Biochemistry 18
Replace R Lotan with:
R Lotan United States
Lutz Thon Germany
Andrew Herman United Kingdom
Clifford M. Chapman United States
Henric S. Adler Germany
Catherine Olesch Germany
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Citations per field
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Citations per year

Countries citing papers authored by M Newby

Since Specialization
Citations

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

Fields of papers citing papers by M Newby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside M Newby, 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 M Newby Line = papers co-authored together M Newby links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Hematopoiesis and suppressor bone marrow cells in mice bearing large metastatic Lewis lung carcinoma tumors.
1987188
2 198659
3
Relationships between morphology, dissemination, migration, and prostaglandin E2 secretion by cloned variants of Lewis lung carcinoma.
198548
4 198429
5
Enhancement of Lewis lung carcinoma cell migration by prostaglandin E2 produced by macrophages.
198626
6 198622
7 198617
8 198613
9 198512
10
Adhesiveness and morphology of Lewis lung carcinoma variants influence their sensitivity to natural killer cytolysis and their metastatic capacity.
19878

About M Newby

M Newby is a scholar working on Oncology, Immunology, Psychiatry and Mental health, Molecular Biology and Pharmacology, having authored 10 papers that have together received 422 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Chemokine receptors and signaling (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Cancer Cells and Metastasis (3 papers), Inflammatory mediators and NSAID effects (2 papers), Immune Cell Function and Interaction (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Immunology (232 citations), Cancer Research (54 citations), Pharmacology (53 citations), Oncology (80 citations) and Biochemistry (18 citations). M Newby has collaborated with scholars based in United States. Frequent co-authors include Matthew R. Young, H. Terry Wepsic, Eleni Kousvelari, Dipak Banerjee, Daniel A. Nikcevich, Bruce J. Baum and Stephen R. Grant. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Biochemical Journal, Immunopharmacology and Immunotoxicology, Cellular Immunology 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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