Kim Pearce

769 citations
29 papers · 548 · h-index 13

Impact in

Papers in

    • Extracellular vesicles in disease 6
    • Mesenchymal stem cell research 5
    • Chronic Lymphocytic Leukemia Research 4

Kim Pearce

28 papers receiving 531 citations

Peers

Kim Pearce
Comparison fields: 5 of 91
  • Hematology 126
  • Developmental and Educational Psychology 73
  • Cancer Research 76
  • Rheumatology 71
  • Genetics 49
Replace Helen Foster with:
Helen Foster United Kingdom
Klaus Schmitt Austria
ZoAnn E. Dreyer United States
Hans Mark Sweden
Carol Greenwald United States
Ricardo Russo Argentina
Yuko Matsuda Japan
Stefania Bellelli Italy
Zhiqiang Sun China
Daniel David Australia
Kim Pearce relative to Helen Foster United Kingdom Helen Foster's profile →
Citations per field
00.5×5.6×
Helen Foster · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kim Pearce, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kim Pearce Line = papers co-authored together Kim Pearce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200080
2 201362
3 201857
4 199951
5 201550
6 201934
7 201731
8 201730
9 201623
10 201021
11 201815
12 201714
13 201812
14 202112
15 20218
16 20137
17 20157
18 20157
19 20065
20 20154

About Kim Pearce

Kim Pearce is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Cancer Research, having authored 29 papers that have together received 548 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Extracellular vesicles in disease (6 papers), Mesenchymal stem cell research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (126 citations), Developmental and Educational Psychology (73 citations), Cancer Research (76 citations), Rheumatology (71 citations) and Genetics (49 citations). Kim Pearce has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include David K. Carson, Anne M. Dickinson, Thomas Klee, Jean Norden, Matthew Collin, Hildegard Greinix, Clare Lendrem, Greig Taylor, Christopher R. Vernazza and Rachel E. Crossland. Their work appears in journals such as Frontiers in Immunology, Blood, International Journal of Immunogenetics, Biology of Blood and Marrow Transplantation and Bone Marrow Transplantation.

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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