G M Marshall

30 total papers · 846 total citations
20 papers, 663 citations indexed

About

G M Marshall is a scholar working on Molecular Biology, Neurology and Surgery. According to data from OpenAlex, G M Marshall has authored 20 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Neurology and 6 papers in Surgery. Recurrent topics in G M Marshall's work include Neuroblastoma Research and Treatments (7 papers), Pancreatic function and diabetes (4 papers) and Cancer therapeutics and mechanisms (4 papers). G M Marshall is often cited by papers focused on Neuroblastoma Research and Treatments (7 papers), Pancreatic function and diabetes (4 papers) and Cancer therapeutics and mechanisms (4 papers). G M Marshall collaborates with scholars based in Australia, United States and Israel. G M Marshall's co-authors include Murray D. Norris, Michelle Haber, Paul Haber, Susan L. Cohn, Belamy B. Cheung, Janice Madafiglio, Bernard E. Tuch, Ann M. Simpson, M. A. Swan and Bernard W. Stewart and has published in prestigious journals such as New England Journal of Medicine, European Journal of Cancer and British Journal of Haematology.

In The Last Decade

G M Marshall

20 papers receiving 643 citations

Author Peers

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

Author						Papers	Cites
G M Marshall	356	262	226	151	99	20	663
Astrid Voigt	392 1.1×	392 1.5×	93 0.4×	70 0.5×	46 0.5×	24	764
Katrien Swerts	209 0.6×	152 0.6×	301 1.3×	28 0.2×	100 1.0×	18	554
J. Yau	270 0.8×	275 1.0×	66 0.3×	102 0.7×	51 0.5×	19	695
Hiroyuki Ishiguro	210 0.6×	61 0.2×	57 0.3×	128 0.8×	33 0.3×	23	573
Jane Renshaw	530 1.5×	121 0.5×	61 0.3×	56 0.4×	32 0.3×	19	667
Evelio Perez‐Albuerne	382 1.1×	128 0.5×	40 0.2×	30 0.2×	138 1.4×	14	721
Samuele Gherardi	537 1.5×	174 0.7×	286 1.3×	29 0.2×	45 0.5×	20	728
Althea McCourty	248 0.7×	370 1.4×	29 0.1×	51 0.3×	62 0.6×	27	766
Marli E. Ebus	449 1.3×	242 0.9×	317 1.4×	19 0.1×	40 0.4×	14	679
Natalie V. Singer	247 0.7×	154 0.6×	23 0.1×	87 0.6×	50 0.5×	18	792

Countries citing papers authored by G M Marshall

Since Specialization

Citations

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

Fields of papers citing papers by G M Marshall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G M Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of G M Marshall. A scholar is included among the top collaborators of G M Marshall 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 G M Marshall. G M Marshall 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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