Rachel E. Piddock
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 7
- Multiple Myeloma Research and Treatments 3
- Genetics 5
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Stuart A. Rushworth (14 shared papers)Kristian M. Bowles (14 shared papers)Christopher R. Marlein (10 shared papers)Lyubov Zaitseva (10 shared papers)Manar Shafat (9 shared papers)Dylan R. Edwards (6 shared papers)Stephen D. Robinson (6 shared papers)Matthew Lawes (5 shared papers)
- Journals
- Blood (6 papers)Cancer Research (2 papers)Oncogene (1 paper)Oncotarget (1 paper)Leukemia (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Rachel E. Piddock
14 papers receiving 925 citations
Peers
Comparison fields: 5 of 63
- Hematology 409
- Genetics 172
- Cancer Research 198
- Immunology 177
- Molecular Biology 459
Countries citing papers authored by Rachel E. Piddock
This map shows the geographic impact of Rachel E. Piddock'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 Rachel E. Piddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel E. Piddock more than expected).
Fields of papers citing papers by Rachel E. Piddock
This network shows the impact of papers produced by Rachel E. Piddock. 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 Rachel E. Piddock. The network helps show where Rachel E. Piddock may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachel E. Piddock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 263 | |
| 2 | 2017 | 261 | |
| 3 | 2019 | 171 | |
| 4 | 2018 | 77 | |
| 5 | 2017 | 33 | |
| 6 | 2018 | 28 | |
| 7 | 2016 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2015 | 21 | |
| 10 | 2018 | 21 | |
| 11 | 2017 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2017 | 1 |
About Rachel E. Piddock
Rachel E. Piddock is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Orthopedics and Sports Medicine, having authored 14 papers that have together received 929 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Chronic Lymphocytic Leukemia Research (4 papers), Bone and Joint Diseases (3 papers), Multiple Myeloma Research and Treatments (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Macrophage Migration Inhibitory Factor (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Hematology (409 citations), Genetics (172 citations), Cancer Research (198 citations), Immunology (177 citations) and Molecular Biology (459 citations). Rachel E. Piddock has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stuart A. Rushworth, Kristian M. Bowles, Christopher R. Marlein, Lyubov Zaitseva, Manar Shafat, Dylan R. Edwards, Stephen D. Robinson, Matthew Lawes, Zhigang Zhou and Amina Abdul‐Aziz. Their work appears in journals such as Blood, Cancer Research, Oncogene, Oncotarget and Leukemia.
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.