D. Batchelor

545 citations
9 papers · 437 · h-index 6

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 1
    • Lung Cancer Research Studies 1
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 3

D. Batchelor

9 papers receiving 401 citations

Peers

D. Batchelor
Comparison fields: 5 of 77
  • Urology 79
  • Psychiatry and Mental health 94
  • Oncology 147
  • Dermatology 44
  • Immunology 56
Replace Muskan Lamba with:
Muskan Lamba United States
Walter José Koff Brazil
Marcus Neureither Germany
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Jonathan Charles Goddard United Kingdom
Özlem Bilgiç Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by D. Batchelor

Since Specialization
Citations

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

Fields of papers citing papers by D. Batchelor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Batchelor, 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. Batchelor Line = papers co-authored together D. Batchelor links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001158
2 1989103
3 199958
4
Phase I trial of combined immunotherapy with subcutaneous granulocyte macrophage colony-stimulating factor, low-dose interleukin 2, and interferon alpha in progressive metastatic melanoma and renal cell carcinoma.
200050
5 200337
6 199322
7 19926
8
Treatment of disseminated renal cell cancer with combinations of interleukin-2, lymphokine-activated killer cells, and alpha-interferon.
19922
9
["Randomized clinical trial of chlorhexidine versus placebo for prevention of oral mucositis in patients receiving chemotherapy". Marylin J. Dodd et al. Report of discussion of this article in the IKA Nursing Research Utilization Board].
19971

About D. Batchelor

D. Batchelor is a scholar working on Oncology, Immunology, Otorhinolaryngology, Urology and Nephrology, having authored 9 papers that have together received 437 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (1 paper), Family Caregiving in Mental Illness (1 paper), Head and Neck Cancer Studies (1 paper), Chemotherapy-related skin toxicity (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Urology (79 citations), Psychiatry and Mental health (94 citations), Oncology (147 citations), Dermatology (44 citations) and Immunology (56 citations). D. Batchelor has collaborated with scholars based in Netherlands and United Kingdom. Frequent co-authors include Florry A. Vyth‐Dreese, Michael Kersten, Wim J. Nooijen, Johan J. Sein, Zahid Mahmood, John Gerald Greene, James A. G. Watt, Peter W. Kershaw, James A. T. Dyer and A. E. Philip. Their work appears in journals such as British Journal of Cancer, Acta Psychiatrica Scandinavica, Journal of Clinical Oncology, Journal of Immunotherapy and European Journal of Cancer Care.

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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