M.S. Metcalfe

652 total citations
9 papers, 519 citations indexed

About

M.S. Metcalfe is a scholar working on Surgery, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, M.S. Metcalfe has authored 9 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in M.S. Metcalfe's work include Organ Transplantation Techniques and Outcomes (3 papers), Cardiac Ischemia and Reperfusion (2 papers) and Lipid Membrane Structure and Behavior (2 papers). M.S. Metcalfe is often cited by papers focused on Organ Transplantation Techniques and Outcomes (3 papers), Cardiac Ischemia and Reperfusion (2 papers) and Lipid Membrane Structure and Behavior (2 papers). M.S. Metcalfe collaborates with scholars based in United Kingdom, Italy and Australia. M.S. Metcalfe's co-authors include Michael L. Nicholson, E. Evans, Ellen W. Evans, I. Barry Holland, Ashley R. Dennison, Gianpiero Gravante, Seok Ling Ong, Roberto Sorge, Giuseppe Orlando and David Lloyd and has published in prestigious journals such as Biophysical Journal, Kidney International and FEMS Microbiology Letters.

In The Last Decade

M.S. Metcalfe

9 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.S. Metcalfe United Kingdom	7	204	131	105	78	60	9	519
S Takahara Japan	13	210 1.0×	134 1.0×	81 0.8×	47 0.6×	64 1.1×	43	544
Rajen Ramsamooj United States	11	88 0.4×	163 1.2×	119 1.1×	26 0.3×	27 0.5×	19	401
Jurgen Heymann United States	11	585 2.9×	50 0.4×	12 0.1×	60 0.8×	62 1.0×	17	929
Helmuth Schmidt Germany	14	164 0.8×	95 0.7×	20 0.2×	149 1.9×	163 2.7×	41	696
K J Wieder United States	12	201 1.0×	117 0.9×	75 0.7×	254 3.3×	67 1.1×	25	697
Shirley H.Y. Hung United States	6	1.0k 5.1×	112 0.9×	84 0.8×	368 4.7×	371 6.2×	7	1.3k
Ranillo R.G. Resuello United States	12	222 1.1×	70 0.5×	21 0.2×	360 4.6×	19 0.3×	14	913
Stephen J. LeGrue United States	16	313 1.5×	77 0.6×	93 0.9×	201 2.6×	115 1.9×	32	678
H. Schuldes Germany	10	200 1.0×	79 0.6×	20 0.2×	40 0.5×	78 1.3×	20	389
Paula M. Sweet United States	17	443 2.2×	79 0.6×	18 0.2×	55 0.7×	476 7.9×	35	1.1k

Countries citing papers authored by M.S. Metcalfe

Since Specialization

Citations

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

Fields of papers citing papers by M.S. Metcalfe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.S. Metcalfe

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

All Works

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9 of 9 papers shown

Chung, Wen Yuan, Gianpiero Gravante, Roberto Sorge, et al.. (2015). The “kidney–liver” multiorgan ex vivo perfused model improves the circuit’s biochemical milieu during perfusion compared to the “liver–kidney” counterpart. Journal of Artificial Organs. 18(2). 151–161. 6 indexed citations

Gravante, Gianpiero, Seok Ling Ong, M.S. Metcalfe, et al.. (2009). Cytokine Response to Ischemia/Reperfusion Injury in an Ex Vivo Perfused Porcine Liver Model. Transplantation Proceedings. 41(4). 1107–1112. 23 indexed citations

Morrison, Charles, Fiona Court, S A Wemyss-Holden, et al.. (2003). Experimental studies of serum cytokine concentration following pancreatic electrolytic ablation.. PubMed. 9(1). BR43–6. 13 indexed citations

Waller, J R, Deirdre Toomey, M.S. Metcalfe, S. Margolin, & Michael L. Nicholson. (2002). Pirfenidone inhibits early neointimal proliferation following arterial injury. Transplantation Proceedings. 34(5). 1486–1488. 1 indexed citations

Waller, J R, Gavin J. Murphy, M.S. Metcalfe, et al.. (2001). Effects of pirfenidone on vascular smooth muscle cell proliferation and intimal hyperplasia following arterial balloon injury. Transplantation Proceedings. 33(7-8). 3816–3818. 7 indexed citations

Metcalfe, M.S., et al.. (2001). Rapamycin in transplantation: A review of the evidence. Kidney International. 59(1). 3–16. 377 indexed citations

Evans, Ellen W. & M.S. Metcalfe. (1984). Free energy potential for aggregation of mixed phosphatidylcholine/phosphatidylserine lipid vesicles in glucose polymer (dextran) solutions. Biophysical Journal. 45(4). 715–720. 28 indexed citations

Evans, E. & M.S. Metcalfe. (1984). Free energy potential for aggregation of giant, neutral lipid bilayer vesicles by Van der Waals attraction. Biophysical Journal. 46(3). 423–426. 50 indexed citations

Metcalfe, M.S. & I. Barry Holland. (1980). SYNTHESIS OF A MAJOR OUTER MEMBRANE PORIN BY ESCHERICHIA COLI SPHEROPLASTS. FEMS Microbiology Letters. 7(2). 111–114. 14 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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