G. W. Sledge

4.5k citations
46 papers · 1.3k · h-index 14

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis
    • Lung Cancer Research Studies

Papers in

    • Cancer Treatment and Pharmacology 22
    • HER2/EGFR in Cancer Research 11
    • Colorectal Cancer Treatments and Studies 5
    • Advanced Breast Cancer Therapies 10
    • Lung Cancer Treatments and Mutations 6
    • Brain Metastases and Treatment 4

G. W. Sledge

43 papers receiving 1.3k citations

Peers

G. W. Sledge
Comparison fields: 5 of 89
  • Cancer Research 527
  • Oncology 859
  • Pulmonary and Respiratory Medicine 336
  • Pathology and Forensic Medicine 162
  • Genetics 87
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Citations per field
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Citations per year

Countries citing papers authored by G. W. Sledge

Since Specialization
Citations

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

Fields of papers citing papers by G. W. Sledge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. W. Sledge. 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 G. W. Sledge. The network helps show where G. W. Sledge may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013335
2 2003193
3 1995158
4 2008109
5 1995104
6 200163
7 200554
8 201039
9 200739
10 201134
11 201018
12
Implications of the new biology for therapy in breast cancer.
199616
13 200914
14 199413
15 200912
16 200511
17 20118
18 20077
19 20117
20 20117

About G. W. Sledge

G. W. Sledge is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Genetics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (22 papers), Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (11 papers), Advanced Breast Cancer Therapies (10 papers), Cancer Genomics and Diagnostics (6 papers), Lung Cancer Treatments and Mutations (6 papers), Colorectal Cancer Treatments and Studies (5 papers) and Brain Metastases and Treatment (4 papers). The work is most often cited by research in Cancer Research (527 citations), Oncology (859 citations), Pulmonary and Respiratory Medicine (336 citations), Pathology and Forensic Medicine (162 citations) and Genetics (87 citations). G. W. Sledge has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Elisabeth A. Bone, R. Fife, Kathy D. Miller, Lena Haney, Maura N. Dickler, Tess D. Weathers, Robert Timmerman, Jiazhou Shen, Joseph A. Sparano and Nancy E. Davidson. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, JNCI Journal of the National Cancer Institute, Annals of Oncology and Breast Cancer Research and Treatment.

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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