Deirdre R. Pachman
- Oncology top 5%
- Dermatology top 1%
- Physiology top 10%
- Hematology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Charles L. LoprinziDebra L. BartonJames C. WatsonKeith M. SwetzDrew K. SeislerKathryn J. RuddyJacqueline M. LafkyAndreas S. Beutler
- Topics
- Cancer Treatment and Pharmacology (20 papers)Chemotherapy-related skin toxicity (16 papers)Cancer survivorship and care (12 papers)
- Cited by
- DermatologyOncologyHematology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Deirdre R. Pachman
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Oncology 951
- Dermatology 345
- Physiology 291
- Hematology 209
- Pulmonary and Respiratory Medicine 180
Countries citing papers authored by Deirdre R. Pachman
This map shows the geographic impact of Deirdre R. Pachman'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 Deirdre R. Pachman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deirdre R. Pachman more than expected).
Fields of papers citing papers by Deirdre R. Pachman
This network shows the impact of papers produced by Deirdre R. Pachman. 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 Deirdre R. Pachman. The network helps show where Deirdre R. Pachman may publish in the future.
Co-authorship network of co-authors of Deirdre R. Pachman
This figure shows the co-authorship network connecting the top 25 collaborators of Deirdre R. Pachman. A scholar is included among the top collaborators of Deirdre R. Pachman 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 Deirdre R. Pachman. Deirdre R. Pachman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 52 | |
| 13 | 1 | |
| 14 | 65 | |
| 15 | 50 | |
| 16 | 67 | |
| 17 | 24 | |
| 18 | 6 | |
| 19 | 206 | |
| 20 | 24 |
About Deirdre R. Pachman
Deirdre R. Pachman is a scholar working on Dermatology, Oncology and Hematology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (20 papers), Chemotherapy-related skin toxicity (16 papers) and Cancer survivorship and care (12 papers). The work is most often cited by research in Dermatology (345 citations), Oncology (951 citations) and Hematology (209 citations). Deirdre R. Pachman has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Charles L. Loprinzi, Debra L. Barton, James C. Watson, Keith M. Swetz, Drew K. Seisler, Kathryn J. Ruddy, Jacqueline M. Lafky, Andreas S. Beutler, Nina D. Wagner‐Johnston and Rui Qin. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.
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.