M Newby

516 total citations
10 papers, 423 citations indexed

About

M Newby is a scholar working on Oncology, Immunology and Psychiatry and Mental health. According to data from OpenAlex, M Newby has authored 10 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Immunology and 3 papers in Psychiatry and Mental health. Recurrent topics in M Newby's work include Immune cells in cancer (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Chemokine receptors and signaling (3 papers). M Newby is often cited by papers focused on Immune cells in cancer (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Chemokine receptors and signaling (3 papers). M Newby collaborates with scholars based in United States. M Newby's co-authors include Matthew R. Young, H. Terry Wepsic, Eleni Kousvelari, Daniel A. Nikcevich, Dipak Banerjee, Bruce J. Baum, Stephen R. Grant and Meredith Mahan and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Biochemical Journal and Cellular Immunology.

In The Last Decade

M Newby

10 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M Newby United States 9 237 95 87 56 54 10 423
Nigel D. Staite United States 10 155 0.7× 126 1.3× 120 1.4× 26 0.5× 43 0.8× 13 520
Pamela A. Hankey United States 12 213 0.9× 125 1.3× 71 0.8× 39 0.7× 40 0.7× 16 421
C E Kaempfer United States 10 289 1.2× 261 2.7× 55 0.6× 44 0.8× 46 0.9× 10 580
Karen A. Richard United States 8 110 0.5× 95 1.0× 106 1.2× 23 0.4× 49 0.9× 11 429
Katherine Bush Australia 8 212 0.9× 98 1.0× 101 1.2× 26 0.5× 30 0.6× 8 441
Xinfeng Yan China 11 179 0.8× 177 1.9× 83 1.0× 104 1.9× 47 0.9× 17 483
Elena Kotsaki Greece 5 203 0.9× 192 2.0× 68 0.8× 127 2.3× 22 0.4× 6 456
Johannes Knop Germany 8 364 1.5× 218 2.3× 49 0.6× 177 3.2× 25 0.5× 11 539
Andreas Dieckmann Switzerland 12 151 0.6× 250 2.6× 74 0.9× 39 0.7× 21 0.4× 17 458

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-authorship network of co-authors of M Newby

This figure shows the co-authorship network connecting the top 25 collaborators of M Newby. A scholar is included among the top collaborators of M Newby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Newby. M Newby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Young, Matthew R., M Newby, & H. Terry Wepsic. (1987). Hematopoiesis and suppressor bone marrow cells in mice bearing large metastatic Lewis lung carcinoma tumors.. PubMed. 47(1). 100–5. 188 indexed citations
2.
Young, Matthew R., et al.. (1987). Adhesiveness and morphology of Lewis lung carcinoma variants influence their sensitivity to natural killer cytolysis and their metastatic capacity.. PubMed. 7(2). 96–108. 8 indexed citations
3.
Young, Matthew R. & M Newby. (1986). Enhancement of Lewis lung carcinoma cell migration by prostaglandin E2 produced by macrophages.. PubMed. 46(1). 160–4. 26 indexed citations
4.
Young, Matthew R., et al.. (1986). Stimulation of prostaglandin-dependent macrophage suppressor cells by the subcutaneous injection of polyunsaturated fatty acids. Cellular Immunology. 102(2). 251–260. 13 indexed citations
5.
Nikcevich, Daniel A., et al.. (1986). Stimulation of Hematopoiesis in Untreated and Cyclophosphamide Treated Mice by the Inhibition of Prostaglandin Synthesis. Immunopharmacology and Immunotoxicology. 8(3). 299–313. 17 indexed citations
6.
Young, Matthew R., et al.. (1986). Macrophage-Mediated Suppression of Natural Killer Cell Activity in Mice Bearing Lewis Lung Carcinoma2. JNCI Journal of the National Cancer Institute. 76(4). 745–750. 59 indexed citations
7.
Young, Matthew R. & M Newby. (1986). Differential Induction of Suppressor Macrophages by Cloned Lewis Lung Carcinoma Variants in Mice<xref ref-type="fn" rid="FN2">2</xref>. JNCI Journal of the National Cancer Institute. 77(6). 1255–60. 22 indexed citations
8.
Mahan, Meredith, et al.. (1985). Prostaglandin E<sub>2</sub> Production by EL 4 Leukemia Cells From C57BL/6 Mice: Mechanism for Tumor Dissemination<xref ref-type="fn" rid="FN2">2</xref>. JNCI Journal of the National Cancer Institute. 74(1). 191–5. 12 indexed citations
9.
Young, Matthew R., et al.. (1985). Relationships between morphology, dissemination, migration, and prostaglandin E2 secretion by cloned variants of Lewis lung carcinoma.. PubMed. 45(8). 3918–23. 49 indexed citations
10.
Kousvelari, Eleni, Stephen R. Grant, Dipak Banerjee, M Newby, & Bruce J. Baum. (1984). Cyclic AMP mediates β-adrenergic-induced increases in N-linked protein glycosylation in rat parotid acinar cells. Biochemical Journal. 222(1). 17–24. 29 indexed citations

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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