W G Harker
- Oncology top 2%
- Molecular Biology top 10%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 10%
- Co-authors
- David SladeBranimir I. ŠikićJ. Thaddeus BeckC. W. SeidlerAdam BrufskyEdith A. PerezFrank M. TortiJohn Hohneker
- Topics
- Cancer therapeutics and mechanisms (8 papers)Cancer Treatment and Pharmacology (6 papers)Colorectal Cancer Treatments and Studies (5 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
W G Harker
35 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 91
- Oncology 1.3k
- Molecular Biology 736
- Surgery 542
- Pulmonary and Respiratory Medicine 428
- Genetics 230
Countries citing papers authored by W G Harker
This map shows the geographic impact of W G Harker'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 W G Harker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W G Harker more than expected).
Fields of papers citing papers by W G Harker
This network shows the impact of papers produced by W G Harker. 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 W G Harker. The network helps show where W G Harker may publish in the future.
Co-authorship network of co-authors of W G Harker
This figure shows the co-authorship network connecting the top 25 collaborators of W G Harker. A scholar is included among the top collaborators of W G Harker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W G Harker. W G Harker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 58 | |
| 3 | 148 | |
| 4 | 236 | |
| 5 | 41 | |
| 6 | 55 | |
| 7 | 22 | |
| 8 | 53 | |
| 9 | Differential immunohistochemical staining for DNA topoisomerase II alpha and beta in human tissues and for DNA topoisomerase II beta in non-Hodgkin's lymphomas. | 46 |
| 10 | 24 | |
| 11 | 115 | |
| 12 | Peripherally inserted central venous catheters. Low-risk alternatives for ongoing venous access. | 87 |
| 13 | 6 | |
| 14 | Non-enzymatic activation of procarbazine to active cytotoxic species. | 2 |
| 15 | 134 | |
| 16 | Human tumor cell line resistance to chemotherapeutic agents does not predict resistance to natural killer or lymphokine-activated killer cell-mediated cytolysis. | 21 |
| 17 | 10 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 94 |
About W G Harker
W G Harker is a scholar working on Oncology, Internal Medicine and Cancer Research, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (8 papers), Cancer Treatment and Pharmacology (6 papers) and Colorectal Cancer Treatments and Studies (5 papers). The work is most often cited by research in Oncology (1.3k citations), Toxicology (104 citations) and Orthopedics and Sports Medicine (208 citations). W G Harker has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Slade, Branimir I. Šikić, J. Thaddeus Beck, C. W. Seidler, Adam Brufsky, Edith A. Perez, Frank M. Torti, John Hohneker, Fuad S. Freiha and Linda D. Shortliffe. Their work appears in journals such as Science, Journal of Clinical Oncology and Blood.
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.