M. J. Pippard

20 total papers · 826 total citations
17 papers, 675 citations indexed

About

M. J. Pippard is a scholar working on Hematology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. J. Pippard has authored 17 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 8 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. J. Pippard's work include Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (7 papers) and Acute Myeloid Leukemia Research (3 papers). M. J. Pippard is often cited by papers focused on Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (7 papers) and Acute Myeloid Leukemia Research (3 papers). M. J. Pippard collaborates with scholars based in United Kingdom, South Africa and Thailand. M. J. Pippard's co-authors include June W. Halliday, Lawrie W. Powell, Jeremy H. Brock, Sheila T. Callender, D. J. Weatherall, D. J. Weatherall, S. N. Wickramasinghe, Saad Abdalla, C. B. Modell and Malcolm J. Jackson and has published in prestigious journals such as Journal of Clinical Investigation, British Journal of Haematology and Journal of Clinical Pathology.

In The Last Decade

M. J. Pippard

17 papers receiving 614 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. J. Pippard 416 339 170 87 76 17 675
JD Cook 443 1.1× 235 0.7× 190 1.1× 95 1.1× 50 0.7× 10 680
Hlosukwazi Khumalo 344 0.8× 260 0.8× 210 1.2× 55 0.6× 76 1.0× 18 624
Allison L. Fisher 438 1.1× 268 0.8× 213 1.3× 74 0.9× 41 0.5× 22 734
G. Graham 423 1.0× 292 0.9× 182 1.1× 44 0.5× 32 0.4× 15 662
Donald K. Bowden 359 0.9× 426 1.3× 66 0.4× 52 0.6× 32 0.4× 28 599
Joseph Kurantsin‐Mills 240 0.6× 290 0.9× 71 0.4× 207 2.4× 56 0.7× 38 674
Majid Shayeghi 388 0.9× 216 0.6× 298 1.8× 51 0.6× 20 0.3× 13 694
Andreas M. Ganzoni 342 0.8× 273 0.8× 115 0.7× 273 3.1× 15 0.2× 33 711
Matthias Dürken 431 1.0× 158 0.5× 54 0.3× 45 0.5× 96 1.3× 35 776
Herbert C. Lichtman 230 0.6× 251 0.7× 83 0.5× 72 0.8× 34 0.4× 39 742

Countries citing papers authored by M. J. Pippard

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Pippard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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