D. Marshall
- Oncology top 5%
- Clinical Biochemistry top 0.5%
- Epidemiology top 10%
- Pharmacology top 5%
- Infectious Diseases top 5%
- Co-authors
- Janet GressMarc RubinJames W. HathornPhilip A. PizzoMichael ThalerJane SkeltonJames R. CommersDeborah Cotton
- Topics
- Neutropenia and Cancer Infections (10 papers)Bacterial Identification and Susceptibility Testing (4 papers)Antibiotic Resistance in Bacteria (4 papers)
- Partner nations
- United StatesMalaysiaUnited Kingdom
In The Last Decade
D. Marshall
16 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Oncology 943
- Clinical Biochemistry 569
- Epidemiology 418
- Pharmacology 309
- Infectious Diseases 301
Countries citing papers authored by D. Marshall
This map shows the geographic impact of D. Marshall'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 D. Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Marshall more than expected).
Fields of papers citing papers by D. Marshall
This network shows the impact of papers produced by D. Marshall. 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 D. Marshall. The network helps show where D. Marshall may publish in the future.
Co-authorship network of co-authors of D. Marshall
This figure shows the co-authorship network connecting the top 25 collaborators of D. Marshall. A scholar is included among the top collaborators of D. Marshall 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 D. Marshall. D. Marshall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 23 | |
| 3 | Economic analysis of early serum hepatitis C virus RNA testing in patients with chronic hepatitis C on interferon therapy. | 1 |
| 4 | 236 | |
| 5 | 148 | |
| 6 | Amphotericin B vs high-dose ketoconazole for empirical antifungal therapy among febrile, granulocytopenic cancer patients. A prospective, randomized study. | 34 |
| 7 | 1 | |
| 8 | 221 | |
| 9 | Silver Threads: Critical Reflections on Growing Old | 3 |
| 10 | 145 | |
| 11 | 101 | |
| 12 | A Randomized Trial Comparing Ceftazidime Alone with Combination Antibiotic Therapy in Cancer Patients with Fever and Neutropeniabreakdown → | 478 |
| 13 | 1 | |
| 14 | 23 | |
| 15 | 99 | |
| 16 | 1 | |
| 17 | 1 |
About D. Marshall
D. Marshall is a scholar working on Molecular Medicine, Clinical Biochemistry and Oncology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (10 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Clinical Biochemistry (569 citations), Molecular Medicine (174 citations) and Oncology (943 citations). D. Marshall has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include Janet Gress, Marc Rubin, James W. Hathorn, Philip A. Pizzo, Michael Thaler, Jane Skelton, James R. Commers, Deborah Cotton, John Hiemenz and Robert Wesley. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Annals of Internal Medicine.
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.