V Evans

540 citations
6 papers · 467 · h-index 2

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis
    • Bone health and treatments

Papers in

V Evans

5 papers receiving 451 citations

Peers

V Evans
Comparison fields: 5 of 42
  • Hematology 385
  • Oncology 230
  • Molecular Biology 249
  • Genetics 21
  • Cancer Research 19
Replace Rossella Ribolla with:
Rossella Ribolla Italy
Francisco Lastiri Argentina
Yaozhong Zhao China
José D. González‐San Miguel Spain
Petrucci
Ravi Vij United States
Ramakrishna Battini United States
Osamu KAMIYA Japan
Tania J. Curcio United States
С. В. Семочкин Russia
V Evans relative to Rossella Ribolla Italy Rossella Ribolla's profile →
Citations per field
00.5×2×3×3.8×
Rossella Ribolla · 1×
Citations per year

Countries citing papers authored by V Evans

Since Specialization
Citations

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

Fields of papers citing papers by V Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside V Evans, 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 Evans Line = papers co-authored together V Evans links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#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 201349
3 20202
4 19911
5 20191
6 20210

About V Evans

V Evans is a scholar working on Safety, Risk, Reliability and Quality, Pulmonary and Respiratory Medicine, Oncology, Statistics, Probability and Uncertainty and Hematology, having authored 6 papers that have together received 467 indexed citations. Recurring topics across this work include Automotive and Human Injury Biomechanics (2 papers), Traffic and Road Safety (2 papers), Cancer Treatment and Pharmacology (1 paper), Traumatic Brain Injury Research (1 paper), Suicide and Self-Harm Studies (1 paper), Bone health and treatments (1 paper), Meta-analysis and systematic reviews (1 paper) and Injury Epidemiology and Prevention (1 paper). The work is most often cited by research in Hematology (385 citations), Oncology (230 citations), Molecular Biology (249 citations), Genetics (21 citations) and Cancer Research (19 citations). V Evans has collaborated with scholars based in United Kingdom. Frequent co-authors include Michael Gnant, Jonas Bergh, Stewart Anderson, Rosie Bradley, T.J. Powles, JR Gralow, Richard G. Gray, K.I. Pritchard, Judith M. Bliss and C. A. Davies. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Scandinavian Audiology, Journal of Evidence-Based Psychotherapies and Journal of Education Health and Sport.

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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