Eugene Paschold

987 citations
12 papers · 592 · h-index 8

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

    • Lung Cancer Research Studies 2
    • Cancer Treatment and Pharmacology 1
    • Cancer therapeutics and mechanisms 2

Eugene Paschold

12 papers receiving 572 citations

Peers

Eugene Paschold
Comparison fields: 5 of 66
  • Oncology 428
  • Pulmonary and Respiratory Medicine 347
  • Cancer Research 83
  • Genetics 24
  • Molecular Biology 154
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D. Ilegbodu United States
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Peter C. Ungaro United States
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Citations per field
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Citations per year

Countries citing papers authored by Eugene Paschold

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Paschold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010338
2 198861
3 201147
4 201140
5 198638
6 198436
7 200112
8
Megestrol acetate as primary hormonal therapy for advanced breast cancer.
198810
9
Operative technique for insertion of a totally implantable system for venous access.
19865
10 20122
11 20122
12 20191

About Eugene Paschold

Eugene Paschold is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 12 papers that have together received 592 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (2 papers), Lung Cancer Research Studies (2 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Cancer Treatment and Pharmacology (1 paper), Breast Cancer Treatment Studies (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Oncology (428 citations), Pulmonary and Respiratory Medicine (347 citations), Cancer Research (83 citations), Genetics (24 citations) and Molecular Biology (154 citations). Eugene Paschold has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Luke Dreisbach, Taral Patel, Donald Woytowitz, Thomas J. Lynch, Michael McCleod, Robert C. Hermann, W. Heim, Shaker R. Dakhil, Nicholas Iannotti and Martin R. Weber. Their work appears in journals such as Journal of Clinical Oncology, The American Surgeon, Cancer, Journal of Neuro-Oncology and Annals of Oncology.

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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