M A Shipp

1.2k total citations
10 papers, 748 citations indexed

About

M A Shipp is a scholar working on Oncology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, M A Shipp has authored 10 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in M A Shipp's work include Peptidase Inhibition and Analysis (6 papers), Neuropeptides and Animal Physiology (6 papers) and Glycosylation and Glycoproteins Research (1 paper). M A Shipp is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), Neuropeptides and Animal Physiology (6 papers) and Glycosylation and Glycoproteins Research (1 paper). M A Shipp collaborates with scholars based in United States, France and Germany. M A Shipp's co-authors include E L Reinherz, L.B. Hersh, Luciano D'adamio, Mary E. Sunday, Ellis L. Reinherz, Emmett V. Schmidt, Emma L. Masteller, Jyothi Vijayaraghavan, George E. Tarr and H. Stein and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

M A Shipp

10 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M A Shipp United States	8	375	271	268	107	93	10	748
Toan D. Nguyen United States	14	339 0.9×	162 0.6×	242 0.9×	98 0.9×	96 1.0×	24	854
Simone Vogel Germany	13	150 0.4×	63 0.2×	233 0.9×	78 0.7×	377 4.1×	24	848
Eiji Ohmura Japan	15	183 0.5×	60 0.2×	336 1.3×	69 0.6×	23 0.2×	29	733
Philippe Ancian France	15	98 0.3×	123 0.5×	619 2.3×	79 0.7×	257 2.8×	26	1.1k
Colette Roche France	18	284 0.8×	75 0.3×	370 1.4×	44 0.4×	30 0.3×	54	967
S.‐E. Jansson Finland	17	170 0.5×	113 0.4×	251 0.9×	40 0.4×	87 0.9×	46	704
Constance Chiappetta United States	13	176 0.5×	44 0.2×	506 1.9×	82 0.8×	218 2.3×	19	1.1k
Gregory Beuerlein United States	10	160 0.4×	81 0.3×	422 1.6×	60 0.6×	141 1.5×	12	817
E. P. Slater Germany	15	370 1.0×	63 0.2×	447 1.7×	51 0.5×	126 1.4×	22	1.2k
Fumihiko Tanioka Japan	16	134 0.4×	59 0.2×	345 1.3×	119 1.1×	40 0.4×	59	716

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-authorship network of co-authors of M A Shipp

This figure shows the co-authorship network connecting the top 25 collaborators of M A Shipp. A scholar is included among the top collaborators of M A Shipp 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 A Shipp. M A Shipp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Shen, Ruoqian, Makoto Sumitomo, Dianne O. Hardy, et al.. (2000). Identification and characterization of two androgen response regions in the human neutral endopeptidase gene. Molecular and Cellular Endocrinology. 170(1-2). 131–142. 61 indexed citations

Shipp, M A, et al.. (1998). The cellular and molecular heterogeneity of the aggressive non-Hodgkinʼs lymphomas. Current Opinion in Oncology. 10(5). 385–391. 7 indexed citations

Drazen, Jeffrey M., Jilly F. Evans, Richard L Stevens, & M A Shipp. (1995). Inflammatory Effector Mechanisms in Asthma. American Journal of Respiratory and Critical Care Medicine. 152(1). 403–407. 6 indexed citations

Ganju, Ramesh K., et al.. (1994). CD10/NEP in non-small cell lung carcinomas. Relationship to cellular proliferation.. Journal of Clinical Investigation. 94(5). 1784–1791. 54 indexed citations

Salles, Gilles, et al.. (1993). Inhibition of CD10/neutral endopeptidase 24.11 promotes B-cell reconstitution and maturation in vivo.. Proceedings of the National Academy of Sciences. 90(16). 7618–7622. 29 indexed citations

Heagy, Wyrta, M A Shipp, & Robert W. Finberg. (1992). Opioid receptor agonists and Ca2+ modulation in human B cell lines. The Journal of Immunology. 149(12). 4074–4081. 27 indexed citations

Shipp, M A, George E. Tarr, L.B. Hersh, et al.. (1991). CD10/neutral endopeptidase 24.11 hydrolyzes bombesin-like peptides and regulates the growth of small cell carcinomas of the lung.. Proceedings of the National Academy of Sciences. 88(23). 10662–10666. 187 indexed citations

Shipp, M A, et al.. (1990). Downregulation of enkephalin-mediated inflammatory responses by CDl0/neutral endopeptidase 24.11. Nature. 347(6291). 394–396. 148 indexed citations

Shipp, M A, Jyothi Vijayaraghavan, Emmett V. Schmidt, et al.. (1989). Common acute lymphoblastic leukemia antigen (CALLA) is active neutral endopeptidase 24.11 ("enkephalinase"): direct evidence by cDNA transfection analysis.. Proceedings of the National Academy of Sciences. 86(1). 297–301. 187 indexed citations

10.

Shipp, M A & E L Reinherz. (1987). Differential expression of nuclear proto-oncogenes in T cells triggered with mitogenic and nonmitogenic T3 and T11 activation signals.. The Journal of Immunology. 139(7). 2143–2148. 42 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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