M A Shipp

1.2k citations
11 papers · 750 · h-index 8

Impact in

Papers in

    • Peptidase Inhibition and Analysis 6
    • Lung Cancer Research Studies 1
    • Ubiquitin and proteasome pathways 1
    • Glycosylation and Glycoproteins Research 1

M A Shipp

10 papers receiving 723 citations

Peers

M A Shipp
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 261
  • Oncology 342
  • Cancer Research 76
  • Behavioral Neuroscience 17
  • Immunology and Allergy 26
Replace Jacqueline M. Langdon with:
Jacqueline M. Langdon United States
Machteld M. J. Polfliet Netherlands
R. A. Lutz United States
Laura Iris Cosen-Binker Canada
Kazuyoshi Watanabe Japan
J X Lin United States
Rebecca Hoffman United States
Robert Johnson United States
N Ida United States
Junko Goto Japan
M A Shipp relative to Jacqueline M. Langdon United States Jacqueline M. Langdon's profile →
Citations per field
00.5×2.9×
Jacqueline M. Langdon · 1×
Citations per year

Countries citing papers authored by M A Shipp

Since Specialization
Citations

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

Fields of papers citing papers by M A Shipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1991188
2 1989187
3 1990148
4 200061
5 199455
6 198742
7 199329
8 199227
9 19987
10 19956
11 20250

About M A Shipp

M A Shipp is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Genetics, having authored 11 papers that have together received 750 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Neuropeptides and Animal Physiology (6 papers), Lung Cancer Research Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper), Prostate Cancer Treatment and Research (1 paper), NF-κB Signaling Pathways (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (261 citations), Oncology (342 citations), Cancer Research (76 citations), Behavioral Neuroscience (17 citations) and Immunology and Allergy (26 citations). M A Shipp has collaborated with scholars based in United States, France and Germany. Frequent co-authors include E L Reinherz, L.B. Hersh, Luciano D'adamio, Mary E. Sunday, Ellis L. Reinherz, Jyothi Vijayaraghavan, Emmett V. Schmidt, Emma L. Masteller, George E. Tarr and H. Stein. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, American Journal of Respiratory and Critical Care Medicine, Nature and Journal of Clinical Investigation.

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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