Daniel J. Pearce
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
Papers in
- Immunology 34
- Psoriasis: Treatment and Pathogenesis 26
- Immune Cell Function and Interaction 5
- Co-authors
- Steven R. Feldman (38 shared papers)Dominique Bonnet (13 shared papers)T. Andrew Lister (3 shared papers)David Taussig (3 shared papers)Rajesh Balkrishnan (17 shared papers)Louis C. Argenta (1 shared paper)Michael J. Morykwas (1 shared paper)Byron J. Faler (1 shared paper)
- Journals
- Journal of Dermatological Treatment (15 papers)Physical Review Letters (5 papers)Dermatologic Surgery (5 papers)Experimental Hematology (4 papers)Blood (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Daniel J. Pearce
91 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 154
- Hematology 537
- Immunology 801
- Dermatology 279
- Condensed Matter Physics 287
- Oncology 516
Countries citing papers authored by Daniel J. Pearce
This map shows the geographic impact of Daniel 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 Daniel 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 Daniel J. Pearce more than expected).
Fields of papers citing papers by Daniel J. Pearce
This network shows the impact of papers produced by Daniel 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 Daniel J. Pearce. The network helps show where Daniel J. Pearce may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Pearce, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 280 | |
| 2 | 2001 | 278 | |
| 3 | 2005 | 236 | |
| 4 | 2012 | 225 | |
| 5 | 2005 | 178 | |
| 6 | 2014 | 137 | |
| 7 | 2005 | 100 | |
| 8 | 2017 | 96 | |
| 9 | 2004 | 91 | |
| 10 | 2010 | 90 | |
| 11 | 2006 | 81 | |
| 12 | 2003 | 68 | |
| 13 | 2007 | 63 | |
| 14 | 2009 | 62 | |
| 15 | 2007 | 62 | |
| 16 | 2006 | 59 | |
| 17 | 2012 | 53 | |
| 18 | 2003 | 51 | |
| 19 | 2017 | 43 | |
| 20 | 2011 | 43 |
About Daniel J. Pearce
Daniel J. Pearce is a scholar working on Immunology, Molecular Biology, Hematology, Condensed Matter Physics and Dermatology, having authored 91 papers that have together received 3.2k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (26 papers), Micro and Nano Robotics (12 papers), Hematopoietic Stem Cell Transplantation (9 papers), Dermatology and Skin Diseases (5 papers), Immune Cell Function and Interaction (5 papers), Nonmelanoma Skin Cancer Studies (5 papers), Acute Myeloid Leukemia Research (4 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). The work is most often cited by research in Hematology (537 citations), Immunology (801 citations), Dermatology (279 citations), Condensed Matter Physics (287 citations) and Oncology (516 citations). Daniel J. Pearce has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Steven R. Feldman, Dominique Bonnet, T. Andrew Lister, David Taussig, Rajesh Balkrishnan, Louis C. Argenta, Michael J. Morykwas, Byron J. Faler, Christopher M. Ridler and Alan B. Fleischer. Their work appears in journals such as Journal of Dermatological Treatment, Physical Review Letters, Dermatologic Surgery, Experimental Hematology and Blood.
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.