Melissa R. Pitman

52 total papers · 1.3k total citations
32 papers, 1.0k citations indexed

About

Melissa R. Pitman is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Melissa R. Pitman has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Melissa R. Pitman's work include Sphingolipid Metabolism and Signaling (22 papers), Lipid Membrane Structure and Behavior (9 papers) and Cellular transport and secretion (8 papers). Melissa R. Pitman is often cited by papers focused on Sphingolipid Metabolism and Signaling (22 papers), Lipid Membrane Structure and Behavior (9 papers) and Cellular transport and secretion (8 papers). Melissa R. Pitman collaborates with scholars based in Australia, United States and Canada. Melissa R. Pitman's co-authors include Stuart M. Pitson, Paul A.B. Moretti, Maurizio Costabile, Catherine A. Abbott, Duyen Pham, Jason A. Powell, Briony L. Gliddon, Angel F. López, R. Ian Menz and Joanna M. Woodcock and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Melissa R. Pitman

31 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Melissa R. Pitman 752 287 263 129 111 32 1.0k
Daniel T. Dransfield 776 1.0× 195 0.7× 282 1.1× 138 1.1× 73 0.7× 46 1.2k
Roxane Desjardins 543 0.7× 222 0.8× 177 0.7× 178 1.4× 83 0.7× 37 1.1k
Claudio Raimondi 835 1.1× 205 0.7× 232 0.9× 103 0.8× 140 1.3× 27 1.2k
Adam Shutes 845 1.1× 311 1.1× 186 0.7× 99 0.8× 51 0.5× 19 1.2k
Tibor Vántus 672 0.9× 142 0.5× 182 0.7× 279 2.2× 87 0.8× 29 1.2k
Neil A. Taylor 580 0.8× 319 1.1× 275 1.0× 179 1.4× 62 0.6× 15 1.1k
Jess M. Cunnick 896 1.2× 145 0.5× 184 0.7× 330 2.6× 80 0.7× 32 1.2k
Marı́a J. Caloca 908 1.2× 316 1.1× 195 0.7× 142 1.1× 97 0.9× 33 1.2k
Christelle Benaud 624 0.8× 229 0.8× 197 0.7× 160 1.2× 67 0.6× 21 1.1k
Angela Russo 537 0.7× 141 0.5× 141 0.5× 106 0.8× 45 0.4× 38 999

Countries citing papers authored by Melissa R. Pitman

Since Specialization
Citations

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

Fields of papers citing papers by Melissa R. Pitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa R. Pitman. 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 Melissa R. Pitman. The network helps show where Melissa R. Pitman may publish in the future.

Co-authorship network of co-authors of Melissa R. Pitman

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa R. Pitman. A scholar is included among the top collaborators of Melissa R. Pitman 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 Melissa R. Pitman. Melissa R. Pitman 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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