M. French

17 total papers · 461 total citations
11 papers, 330 citations indexed

About

M. French is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. French has authored 11 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. French's work include Renal Transplantation Outcomes and Treatments (2 papers), Veterinary Oncology Research (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). M. French is often cited by papers focused on Renal Transplantation Outcomes and Treatments (2 papers), Veterinary Oncology Research (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). M. French collaborates with scholars based in United Kingdom, Kenya and United States. M. French's co-authors include Peter J. Morris, M. S. Dunnill, Susan P. Fisher‐Hoch, M F Muers, J. O'H. Tobin, Ralph Mitchell, Jason E. Beare, F. M. Charnock, S. Mallal and John R. Dyer and has published in prestigious journals such as The Lancet, American Journal of Epidemiology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

In The Last Decade

M. French

11 papers receiving 260 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. French	173	73	70	61	52	11	330
V L Yu	101 0.6×	42 0.6×	36 0.5×	51 0.8×	65 1.3×	7	296
Sue M. Mietzner	50 0.3×	21 0.3×	16 0.2×	169 2.8×	100 1.9×	12	307
Bernard A. Berman	250 1.4×	105 1.4×	83 1.2×	15 0.2×	19 0.4×	10	340
R F Jacobs	86 0.5×	70 1.0×	15 0.2×	167 2.7×	74 1.4×	13	362
Randal W. Rowland	42 0.2×	41 0.6×	15 0.2×	42 0.7×	26 0.5×	12	329
Mitsuji Iwasa	28 0.2×	21 0.3×	18 0.3×	180 3.0×	189 3.6×	15	358
Marielle Fricchione	20 0.1×	16 0.2×	17 0.2×	69 1.1×	144 2.8×	16	340
Rebecca Kwait	19 0.1×	28 0.4×	16 0.2×	194 3.2×	124 2.4×	16	315
A. C. Cunliffe	23 0.1×	36 0.5×	6 0.1×	44 0.7×	28 0.5×	21	295
Yang Zhou	11 0.1×	52 0.7×	20 0.3×	93 1.5×	82 1.6×	17	276

Countries citing papers authored by M. French

Since Specialization

Citations

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

Fields of papers citing papers by M. French

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. French

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

All Works

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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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