J. M. Beardmore

459 total citations
8 papers, 379 citations indexed

About

J. M. Beardmore is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. M. Beardmore has authored 8 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. M. Beardmore's work include Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (2 papers) and Neonatal Respiratory Health Research (2 papers). J. M. Beardmore is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (2 papers) and Neonatal Respiratory Health Research (2 papers). J. M. Beardmore collaborates with scholars based in United Kingdom. J. M. Beardmore's co-authors include Colin R. Hopkins, Rosalie Richards, Karen Miller, Karl N. Miller, Hannah Kanety, Joseph Schlessinger, D. I. Lewis‐Jones, Kathryn E. Howell, Christopher Molloy and Peter Brown and has published in prestigious journals such as The Journal of Cell Biology, Journal of Cell Science and Cellular and Molecular Life Sciences.

In The Last Decade

J. M. Beardmore

8 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. M. Beardmore United Kingdom	7	214	141	70	63	58	8	379
Carol A. Sauvage United States	8	186 0.9×	80 0.6×	66 0.9×	70 1.1×	88 1.5×	9	463
C A Carraway United States	11	281 1.3×	170 1.2×	29 0.4×	83 1.3×	67 1.2×	13	484
Hans L. P. van Duijnhoven Netherlands	7	269 1.3×	191 1.4×	63 0.9×	99 1.6×	41 0.7×	10	505
I Geffen Switzerland	11	418 2.0×	194 1.4×	56 0.8×	60 1.0×	56 1.0×	13	526
Deborah M. Leonard United States	16	365 1.7×	244 1.7×	47 0.7×	36 0.6×	18 0.3×	20	626
J. Sanford United States	14	485 2.3×	207 1.5×	44 0.6×	41 0.7×	10 0.2×	18	626
Sybille Galosy United States	11	244 1.1×	58 0.4×	128 1.8×	67 1.1×	41 0.7×	16	454
Arianne Heinrichs United States	10	307 1.4×	79 0.6×	85 1.2×	61 1.0×	20 0.3×	68	449
Anke H.M. van Vugt Netherlands	14	435 2.0×	59 0.4×	90 1.3×	33 0.5×	43 0.7×	18	674
Evelyne Coudrier France	7	206 1.0×	148 1.0×	45 0.6×	39 0.6×	8 0.1×	10	348

Countries citing papers authored by J. M. Beardmore

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Beardmore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Beardmore

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

All Works

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8 of 8 papers shown

Beardmore, J. M., Kathryn E. Howell, Karen Miller, & Colin R. Hopkins. (1987). Isolation of an endocytic compartment from A431 cells using a density modification procedure employing a receptor-specific monoclonal antibody complexed with colloidal gold. Journal of Cell Science. 87(4). 495–506. 28 indexed citations

Miller, Karen, J. M. Beardmore, Hannah Kanety, Joseph Schlessinger, & Colin R. Hopkins. (1986). Localization of the epidermal growth factor (EGF) receptor within the endosome of EGF-stimulated epidermoid carcinoma (A431) cells.. The Journal of Cell Biology. 102(2). 500–509. 122 indexed citations

Hopkins, Colin R., Karl N. Miller, & J. M. Beardmore. (1985). Receptor-mediated endocytosis of transferrin and epidermal growth factor receptors: a comparison of constitutive and ligand-induced uptake. Journal of Cell Science. 1985(Supplement_3). 173–186. 81 indexed citations

Richards, Rosalie & J. M. Beardmore. (1984). Prolactin concentrations in mouse milk during lactation. Cellular and Molecular Life Sciences. 40(7). 757–758. 6 indexed citations

Beardmore, J. M. & Colin R. Hopkins. (1984). Uptake and intracellular processing of epidermal-growth-factor-receptor complexes. Biochemical Society Transactions. 12(2). 165–168. 5 indexed citations

Richards, Robert, J. M. Beardmore, Peter Brown, Christopher Molloy, & Pamela Jo Johnson. (1983). Epidermal growth factor receptors on isolated human placental syncytiotrophoblast plasma membrane. Placenta. 4(2). 133–138. 20 indexed citations

Beardmore, J. M., D. I. Lewis‐Jones, & Rosalie Richards. (1983). Urogastrone and Lactose Concentrations in Precolostrum, Colostrum, and Milk. Pediatric Research. 17(10). 825–828. 36 indexed citations

Beardmore, J. M. & Rosalie Richards. (1983). Concentrations of epidermal growth factor in mouse milk throughout lactation. Journal of Endocrinology. 96(2). 287–292. 81 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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