Daniel Tannenbaum
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Applied Microbiology and Biotechnology top 5%
- Co-authors
- Warren J. McIsaacDonald E. LowDavid WhiteFleur M. AungCristhiam M. Rojas‐HernandezMichelle ChenMike ZhongSeerat Anand
- Topics
- Blood groups and transfusion (2 papers)Blood transfusion and management (2 papers)Hematopoietic Stem Cell Transplantation (1 paper)
- Cited by
- Applied Microbiology and BiotechnologyInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Journal of Clinical OncologyBloodTransfusion and Apheresis Science
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Daniel Tannenbaum
5 papers receiving 246 citations
Peers
Comparison fields: 5 of 44
- Public Health, Environmental and Occupational Health 203
- Infectious Diseases 169
- Epidemiology 110
- Pulmonary and Respiratory Medicine 41
- Applied Microbiology and Biotechnology 35
Countries citing papers authored by Daniel Tannenbaum
This map shows the geographic impact of Daniel Tannenbaum'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 Tannenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tannenbaum more than expected).
Fields of papers citing papers by Daniel Tannenbaum
This network shows the impact of papers produced by Daniel Tannenbaum. 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 Tannenbaum. The network helps show where Daniel Tannenbaum may publish in the future.
Co-authorship network of co-authors of Daniel Tannenbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tannenbaum. A scholar is included among the top collaborators of Daniel Tannenbaum 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 Daniel Tannenbaum. Daniel Tannenbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | A clinical score to reduce unnecessary antibiotic use in patients with sore throat. | 256 |
About Daniel Tannenbaum
Daniel Tannenbaum is a scholar working on Biochemistry, Hematology and Oncology, having authored 5 papers that have together received 262 indexed citations. Recurring topics across this work include Blood groups and transfusion (2 papers), Blood transfusion and management (2 papers) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (35 citations), Infectious Diseases (169 citations) and Public Health, Environmental and Occupational Health (203 citations). Daniel Tannenbaum has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Warren J. McIsaac, Donald E. Low, David White, Fleur M. Aung, Cristhiam M. Rojas‐Hernandez, Michelle Chen, Mike Zhong, Seerat Anand, Scott Kopetz and Benny Johnson. Their work appears in journals such as Journal of Clinical Oncology, Blood and Transfusion and Apheresis Science.
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.