David S. Eilender
Impact in
- Dermatology top 10%
- Cutaneous lymphoproliferative disorders research
-
- Acute Myeloid Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 4
- Oncology 4
- Colorectal Cancer Surgical Treatments 2
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Anwar N. Mohamed (2 shared papers)Margarita Palutke (2 shared papers)Christiane K. Rakozy (2 shared papers)Maria E. Dan (2 shared papers)Ayad M Al-Katib (2 shared papers)Mary Laura Varterasian (2 shared papers)Richard S. Lemons (2 shared papers)Abhinav Binod Chandra (1 shared paper)
- Journals
- American Journal of Clinical Pathology (2 papers)Journal of Clinical Oncology (1 paper)Journal of Surgical Oncology (1 paper)Cancer Chemotherapy and Pharmacology (1 paper)Clinical & Experimental Metastasis (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
David S. Eilender
10 papers receiving 323 citations
Peers
Comparison fields: 5 of 54
- Dermatology 60
- Hematology 73
- Pathology and Forensic Medicine 73
- Oncology 88
- Genetics 30
Countries citing papers authored by David S. Eilender
This map shows the geographic impact of David S. Eilender'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 David S. Eilender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Eilender more than expected).
Fields of papers citing papers by David S. Eilender
This network shows the impact of papers produced by David S. Eilender. 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 David S. Eilender. The network helps show where David S. Eilender may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Eilender, 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 | Phase II trial of bryostatin 1 in patients with relapsed low-grade non-Hodgkin's lymphoma and chronic lymphocytic leukemia. | 2000 | 85 |
| 2 | 1990 | 62 | |
| 3 | 2002 | 50 | |
| 4 | 2001 | 39 | |
| 5 | 2011 | 34 | |
| 6 | 1999 | 23 | |
| 7 | 1995 | 17 | |
| 8 | 2018 | 14 | |
| 9 | 1999 | 13 | |
| 10 | 2005 | 6 |
About David S. Eilender
David S. Eilender is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Biochemistry and Statistics and Probability, having authored 10 papers that have together received 343 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Retinoids in leukemia and cellular processes (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Statistical Methods in Clinical Trials (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Dermatology (60 citations), Hematology (73 citations), Pathology and Forensic Medicine (73 citations), Oncology (88 citations) and Genetics (30 citations). David S. Eilender has collaborated with scholars based in United States and Germany. Frequent co-authors include Anwar N. Mohamed, Margarita Palutke, Christiane K. Rakozy, Maria E. Dan, Ayad M Al-Katib, Mary Laura Varterasian, Richard S. Lemons, Abhinav Binod Chandra, Ramzi M. Mohammad and Anthony J. Murgo. Their work appears in journals such as American Journal of Clinical Pathology, Journal of Clinical Oncology, Journal of Surgical Oncology, Cancer Chemotherapy and Pharmacology and Clinical & Experimental Metastasis.
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.