William H. Wolberg

6.0k total citations · 2 hit papers
67 papers, 4.2k citations indexed

About

William H. Wolberg is a scholar working on Oncology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, William H. Wolberg has authored 67 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 19 papers in Cancer Research and 18 papers in Artificial Intelligence. Recurrent topics in William H. Wolberg's work include AI in cancer detection (18 papers), Breast Cancer Treatment Studies (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). William H. Wolberg is often cited by papers focused on AI in cancer detection (18 papers), Breast Cancer Treatment Studies (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). William H. Wolberg collaborates with scholars based in United States, South Africa and Türkiye. William H. Wolberg's co-authors include O. L. Mangasarian, W. Nick Street, Rudy Setiono, Martin A. Tanner, James F. Malec, Peter G. Welling, Sandra E. Ward, Susan M. Heidrich, Raymond R. Brown and Robert H. Demling and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

William H. Wolberg

67 papers receiving 3.8k citations

Hit Papers

Multisurface method of pattern separation for medical dia... 1990 2026 2002 2014 1990 1995 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William H. Wolberg United States 28 2.3k 911 662 660 302 67 4.2k
Ioannis Tsamardinos Greece 30 2.8k 1.3× 1.7k 1.9× 117 0.2× 589 0.9× 147 0.5× 135 5.6k
George Lee United States 34 1.1k 0.5× 2.1k 2.3× 484 0.7× 412 0.6× 768 2.5× 112 5.2k
Ryan Rifkin United States 17 1.4k 0.6× 1.6k 1.8× 190 0.3× 810 1.2× 96 0.3× 25 3.8k
Giuseppe De Nicolao Italy 46 827 0.4× 789 0.9× 322 0.5× 174 0.3× 148 0.5× 277 8.3k
C. Huard Canada 5 1.8k 0.8× 6.4k 7.0× 458 0.7× 974 1.5× 164 0.5× 6 8.3k
Cui Tao United States 37 1.8k 0.8× 1.8k 1.9× 312 0.5× 136 0.2× 188 0.6× 349 5.2k
Themis P. Exarchos Greece 19 1.1k 0.5× 719 0.8× 249 0.4× 161 0.2× 654 2.2× 98 3.2k
Michelle Gaasenbeek United Kingdom 8 2.1k 0.9× 7.5k 8.2× 862 1.3× 1.1k 1.7× 234 0.8× 10 10.2k
C. D. Bloomfield United States 25 1.8k 0.8× 7.5k 8.2× 1.2k 1.9× 981 1.5× 204 0.7× 52 11.8k
M. A. Caligiuri United States 16 1.8k 0.8× 7.1k 7.7× 651 1.0× 974 1.5× 170 0.6× 27 10.0k

Countries citing papers authored by William H. Wolberg

Since Specialization
Citations

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

Fields of papers citing papers by William H. Wolberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Wolberg. 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 William H. Wolberg. The network helps show where William H. Wolberg may publish in the future.

Co-authorship network of co-authors of William H. Wolberg

This figure shows the co-authorship network connecting the top 25 collaborators of William H. Wolberg. A scholar is included among the top collaborators of William H. Wolberg 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 William H. Wolberg. William H. Wolberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wolberg, William H., et al.. (1997). Indeterminate fine-needle aspiration of the breast. Cancer. 81(2). 129–135. 13 indexed citations
2.
Wolberg, William H., et al.. (1997). Indeterminate fine‐needle aspiration of the breast. Cancer. 81(2). 129–135. 1 indexed citations
3.
Wolberg, William H., W. Nick Street, & O. L. Mangasarian. (1997). Computerized Diagnosis of Breast Fine-Needle Aspirates. The Breast Journal. 3(2). 77–80. 3 indexed citations
4.
Wolberg, William H., W. Nick Street, & O. L. Mangasarian. (1997). Computer-derived nuclear features compared with axillary lymph node status for breast carcinoma prognosis. Cancer. 81(3). 172–179. 12 indexed citations
5.
Wolberg, William H.. (1995). Computerized Breast Cancer Diagnosis and Prognosis From Fine-Needle Aspirates. Archives of Surgery. 130(5). 511–511. 55 indexed citations
6.
Wolberg, William H., et al.. (1994). Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates. Cancer Letters. 77(2-3). 163–171. 153 indexed citations
7.
Gibson, David F., et al.. (1993). The effects of intermittent progesterone upon tamoxifen inhibition of tumor growth in the 7,12-dimethylbenzanthracene rat mammary tumor model. Breast Cancer Research and Treatment. 27(3). 283–287. 6 indexed citations
8.
Wolberg, William H., et al.. (1993). Breast cytology diagnosis with digital image analysis.. PubMed. 15(6). 396–404. 44 indexed citations
9.
Wolberg, William H.. (1989). Fine-Needle Aspiration for Breast Mass Diagnosis. Archives of Surgery. 124(7). 814–814. 12 indexed citations
10.
Wolberg, William H., et al.. (1988). Statistical approach to fine needle aspiration diagnosis of breast masses.. PubMed. 31(6). 737–41. 17 indexed citations
11.
Schiller, Joan H., James K. V. Willson, Gerard Bittner, et al.. (1986). Antiproliferative Effects of Interferons on Human Melanoma Cells in the Human Tumor Colony-Forming Assay. Journal of Interferon Research. 6(6). 615–625. 36 indexed citations
12.
Tanner, Martin A., et al.. (1986). Radiation survival of human mammary carcinoma cells: Criteria for an agar-based clonogenic assay. International Journal of Radiation Oncology*Biology*Physics. 12(1). 75–81. 5 indexed citations
13.
Wolberg, William H. & Jacques Morin. (1981). Thymidylate synthetase activity and fluorouracil sensitivity of human colonic cancer and normal mucosal tissue preparations. Cancer. 47(6). 1313–1317. 12 indexed citations
14.
Wolberg, William H., et al.. (1978). Pharmacokinetics of fluorouracil in humans.. PubMed. 38(10). 3479–82. 104 indexed citations
15.
Demling, Robert H., Richard B. Mazess, R. Witt, & William H. Wolberg. (1978). The Study of Burn Wound Edema Using Dichromatic Absorptiometry. The Journal of Trauma: Injury, Infection, and Critical Care. 18(2). 124–128. 50 indexed citations
16.
Wolberg, William H.. (1971). Considerations in the Development of a Predictive System for Cancer Chemotherapy. Archives of Surgery. 102(4). 344–344. 3 indexed citations
17.
Johnson, Robert O. & William H. Wolberg. (1971). Cellular kinetics and their implications for chemotherapy of solid tumors, especially cancer of the colon. Cancer. 28(1). 208–212. 5 indexed citations
18.
Wolberg, William H.. (1969). The effect of 5-fluorouracil on DNA-thymine synthesis in human tumors.. PubMed. 29(12). 2137–44. 10 indexed citations
19.
Wolberg, William H., Robert O. Johnson, & Anthony R. Curreri. (1963). Controlled-dose chemotherapy as an adjunct to surgery. Cancer. 16(1). 5–7. 4 indexed citations
20.
Wolberg, William H. & Raymond R. Brown. (1962). Autoradiographic studies of in vitro incorporation of uridine and thymidine by human tumor tissue.. PubMed. 22. 1113–9. 63 indexed citations

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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