Kim Pearce

40 total papers · 760 total citations
29 papers, 545 citations indexed

About

Kim Pearce is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Kim Pearce has authored 29 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Hematology. Recurrent topics in Kim Pearce's work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (6 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Kim Pearce is often cited by papers focused on MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (6 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Kim Pearce collaborates with scholars based in United Kingdom, Germany and Austria. Kim Pearce's co-authors include David K. Carson, Thomas Klee, Anne M. Dickinson, Jean Norden, Matthew Collin, Hildegard Greinix, Clare Lendrem, Greig Taylor, Christopher R. Vernazza and Rachel E. Crossland and has published in prestigious journals such as Blood, Frontiers in Immunology and The Journals of Gerontology Series A.

In The Last Decade

Kim Pearce

28 papers receiving 526 citations

Author Peers

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

Author Last Decade Papers Cites
Kim Pearce 136 126 87 75 74 29 545
Burton J. Grossman 132 1.0× 79 0.6× 37 0.4× 16 0.2× 7 0.1× 42 605
James R. Newland 86 0.6× 27 0.2× 48 0.6× 15 0.2× 14 0.2× 33 494
Christopher T. Chen 75 0.6× 24 0.2× 27 0.3× 30 0.4× 16 0.2× 30 503
Suhan Zhang 91 0.7× 12 0.1× 81 0.9× 18 0.2× 20 0.3× 32 569
V. Vila 67 0.5× 145 1.2× 67 0.8× 41 0.5× 4 0.1× 35 574
García Díaz 84 0.6× 24 0.2× 25 0.3× 19 0.3× 11 0.1× 69 566
Carolyn McDonald 23 0.2× 71 0.6× 54 0.6× 32 0.4× 10 0.1× 19 525
Ben Thompson 62 0.5× 40 0.3× 38 0.4× 32 0.4× 5 0.1× 32 525
Harvey Bunce 34 0.3× 54 0.4× 37 0.4× 10 0.1× 9 0.1× 22 586
André D. Lascari 53 0.4× 83 0.7× 10 0.1× 14 0.2× 10 0.1× 43 566

Countries citing papers authored by Kim Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Kim Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Pearce

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