M. Graham

12 total papers · 453 total citations
7 papers, 312 citations indexed

About

M. Graham is a scholar working on Hematology, Genetics and Infectious Diseases. According to data from OpenAlex, M. Graham has authored 7 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in M. Graham's work include Hematopoietic Stem Cell Transplantation (4 papers), Mesenchymal stem cell research (2 papers) and COVID-19 Clinical Research Studies (1 paper). M. Graham is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Mesenchymal stem cell research (2 papers) and COVID-19 Clinical Research Studies (1 paper). M. Graham collaborates with scholars based in United States, Taiwan and Singapore. M. Graham's co-authors include Joanne Kurtzberg, P Rubinstein, Joseph R. Casey, Stevens Ce, Alasdair Hotston Moore, Michael Day, Tang‐Her Jaing, R. Chow, David Gjertson and David W. Gjertson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Drug Delivery Reviews and Veterinary Record.

In The Last Decade

M. Graham

7 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
M. Graham 119 81 79 65 58 7 312
Flávio Henrique Paraguassú-Braga 129 1.1× 47 0.6× 64 0.8× 19 0.3× 5 0.1× 9 291
Michael L. Manning 125 1.1× 68 0.8× 21 0.3× 112 1.7× 3 0.1× 7 327
Puja Sapra 141 1.2× 20 0.2× 42 0.5× 111 1.7× 7 0.1× 4 288
Denise Jaggers 136 1.1× 19 0.2× 8 0.1× 59 0.9× 12 0.2× 9 356
G. Kao 105 0.9× 88 1.1× 10 0.1× 13 0.2× 5 0.1× 9 255
Eric Muller 171 1.4× 16 0.2× 47 0.6× 7 0.1× 22 0.4× 10 345
J. Deflorin 154 1.3× 35 0.4× 32 0.4× 14 0.2× 4 0.1× 5 355
Raquel de Melo Alves Paiva 212 1.8× 48 0.6× 20 0.3× 16 0.2× 3 0.1× 7 336
Weston Sutherland 92 0.8× 118 1.5× 8 0.1× 16 0.2× 11 0.2× 7 341
Elisabeth Bascans 178 1.5× 145 1.8× 38 0.5× 7 0.1× 5 0.1× 8 361

Countries citing papers authored by M. Graham

Since Specialization
Citations

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

Fields of papers citing papers by M. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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