Edward J. Pearce
- Immunology top 0.02%
- Molecular Biology top 0.5%
- Parasitology top 0.01%
- Epidemiology top 0.5%
- Ecology top 0.2%
- Co-authors
- Erika L. PearceBart EvertsAlan SherAndrew S. MacDonaldStanley Ching‐Cheng HuangGerritje J. W. van der WindtChih‐Hao ChangLuke O'neill
- Topics
- Parasites and Host Interactions (123 papers)Parasite Biology and Host Interactions (49 papers)Immune Cell Function and Interaction (41 papers)
- Cited by
- ParasitologyImmunologySmall Animals
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Edward J. Pearce
226 papers receiving 35.7k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Immunology 17.7k
- Molecular Biology 9.5k
- Parasitology 9.4k
- Epidemiology 4.2k
- Ecology 4.2k
Countries citing papers authored by Edward J. Pearce
This map shows the geographic impact of Edward J. 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 Edward J. Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Pearce more than expected).
Fields of papers citing papers by Edward J. Pearce
This network shows the impact of papers produced by Edward J. 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 Edward J. Pearce. The network helps show where Edward J. Pearce may publish in the future.
Co-authorship network of co-authors of Edward J. Pearce
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Pearce. A scholar is included among the top collaborators of Edward J. 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 Edward J. Pearce. Edward J. Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 8 | |
| 3 | 23 | |
| 4 | Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programmingbreakdown → | 1041 |
| 5 | 254 | |
| 6 | 80 | |
| 7 | Memory CD8+ T Cells Use Cell-Intrinsic Lipolysis to Support the Metabolic Programming Necessary for Developmentbreakdown → | 611 |
| 8 | 74 | |
| 9 | piggyBac transposon mediated transgenesis of the human blood fluke, Schistosoma mansoni | 4 |
| 10 | 164 | |
| 11 | 47 | |
| 12 | 221 | |
| 13 | 146 | |
| 14 | 84 | |
| 15 | 75 | |
| 16 | 235 | |
| 17 | Differential Regulation of Nitric Oxide Synthase-2 and Arginase-1 by Type 1/Type 2 Cytokines In Vivo: Granulomatous Pathology Is Shaped by the Pattern of | 571 |
| 18 | 56 | |
| 19 | 57 | |
| 20 | 54 |
About Edward J. Pearce
Edward J. Pearce is a scholar working on Parasitology, Immunology and Aging, having authored 227 papers that have together received 36.1k indexed citations. Recurring topics across this work include Parasites and Host Interactions (123 papers), Parasite Biology and Host Interactions (49 papers) and Immune Cell Function and Interaction (41 papers). The work is most often cited by research in Parasitology (9.4k citations), Immunology (17.7k citations) and Small Animals (2.1k citations). Edward J. Pearce has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Erika L. Pearce, Bart Everts, Alan Sher, Andrew S. MacDonald, Stanley Ching‐Cheng Huang, Gerritje J. W. van der Windt, Chih‐Hao Chang, Luke O'neill, Jonathan D. Curtis and David O’Sullivan. Their work appears in journals such as Nature, Science and Cell.
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.