V. T. DeVita

1.4k citations
7 papers · 1.1k indexed · 1 hit paper · h-index 6

Impact in

Papers in

V. T. DeVita

7 papers receiving 954 citations

Hit Papers

ADVANCED DIFFUSE HISTIOCYTIC LYMPHOMA, A POTENTIALLY CURABLE DISEASE 1975 · 368 citations
3681975202619922009100200300

Peers

V. T. DeVita
Comparison fields: 5 of 84
  • Pathology and Forensic Medicine 506
  • Genetics 182
  • Oncology 449
  • Neurology 186
  • Immunology 238
Replace ML Hansmann with:
ML Hansmann Germany
Leonard R. Farber United States
K Blake United States
J. M. Vose United States
James P. O'Brien United States
AA Bartolucci United States
Jens Krugmann Austria
C Gisselbrecht France
Jens Ersbøll Denmark
Tadashi Motoori Japan
V. T. DeVita relative to ML Hansmann Germany ML Hansmann's profile →
Citations per field
00.5×2.8×
ML Hansmann · 1×
Citations per year

Countries citing papers authored by V. T. DeVita

Since Specialization
Citations

This map shows the geographic impact of V. T. DeVita'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 V. T. DeVita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. T. DeVita more than expected).

Fields of papers citing papers by V. T. DeVita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. T. DeVita. 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 V. T. DeVita. The network helps show where V. T. DeVita may publish in the future.

Co-authors

The 20 scholars most cited alongside V. T. DeVita, 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 V. T. DeVita Line = papers co-authored together V. T. DeVita links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1992382
2 19872
3
Patterns of involvement with malignant lymphoma and implications for treatment decision making.
197519
4
ADVANCED DIFFUSE HISTIOCYTIC LYMPHOMA, A POTENTIALLY CURABLE DISEASE
Hit paper breakdown →
1975368
5
Percutaneous liver biopsy, peritoneoscopy and laparotomy: an assessment of relative merits in the lymphomata.
197514
6 1972275
7 19715

About V. T. DeVita

V. T. DeVita is a scholar working on Genetics, Pathology and Forensic Medicine, Microbiology, Information Systems and Management and Small Animals, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Infectious Diseases and Mycology (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cancer and Skin Lesions (1 paper), Molecular Biology Techniques and Applications (1 paper) and Histiocytic Disorders and Treatments (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (506 citations), Genetics (182 citations), Oncology (449 citations), Neurology (186 citations) and Immunology (238 citations). V. T. DeVita has collaborated with scholars based in United States. Frequent co-authors include S Hellman, S A Rosenberg, Philip S. Schein, Bruce A. Chabner, G. P. Canellos, R. E. Johnson, Robert W. Sponzo, Heather S. Bonner, George P. Canellos and David L. Levin. Their work appears in journals such as The Lancet, CA A Cancer Journal for Clinicians, New England Journal of Medicine, Histopathology and PubMed.

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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