D E Bergsagel

23 papers receiving 1.3k citations

Peers

D E Bergsagel
Comparison fields: 5 of 76
  • Hematology 922
  • Oncology 483
  • Genetics 178
  • Pathology and Forensic Medicine 277
  • Molecular Biology 528
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Citations per year

Countries citing papers authored by D E Bergsagel

Since Specialization
Citations

This map shows the geographic impact of D E Bergsagel'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 E Bergsagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D E Bergsagel more than expected).

Fields of papers citing papers by D E Bergsagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D E Bergsagel. 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 E Bergsagel. The network helps show where D E Bergsagel may publish in the future.

Co-authors

The 25 scholars most cited alongside D E Bergsagel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D E Bergsagel Line = papers co-authored together D E Bergsagel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Combination chemotherapy versus melphalan plus prednisone as treatment for multiple myeloma: An overview of 6,633 patients from 27 randomized trials
1998414
2 1983326
3
Evaluation of new chemotherapeutic agents in the treatment of multiple myeloma. IV. L-Phenylalanine mustard (NSC-8806).
1962102
4 198586
5 199180
6 199260
7 197142
8
Chromosome damage in murine and human cells following cytoxan therapy.
196242
9
Benzene and multiple myeloma: appraisal of the scientific evidence.
199941
10 199233
11 198533
12 199130
13 198724
14 198813
15 19529
16
Weekly cyclophosphamide and alternate-day prednisone: an effective secondary therapy in multiple myeloma.
19878
17 19867
18 19917
19
Evaluation of new chemotherapeutic agents in the treatment of multiple myeloma. V. 1-Aminocyclopentanecarboxylic acid (NSC-1026).
19624
20 19924

About D E Bergsagel

D E Bergsagel is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Neurology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Lymphoma Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Treatment and Pharmacology (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Chemokine receptors and signaling (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (922 citations), Oncology (483 citations), Genetics (178 citations), Pathology and Forensic Medicine (277 citations) and Molecular Biology (528 citations). D E Bergsagel has collaborated with scholars based in Canada, New Zealand and United States. Frequent co-authors include Margaret A. Knowling, Andrew Ralph Harwood, Christopher P. Austin, Kenneth M. Griffith, Theresa Chua, Simon B.J. Sutcliffe, Raymond S. Bush, HA Messner, Héctor Martínez-Valdez and MD Minden. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Internal Medicine, International Journal of Radiation Oncology*Biology*Physics and European Journal of Cancer.

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.

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