William Weber
Impact in
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- Cellular transport and secretion
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- Lysosomal Storage Disorders Research
Papers in
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- Sphingolipid Metabolism and Signaling 1
- DNA Repair Mechanisms 1
- Glycosylation and Glycoproteins Research 1
- Oncology 4
- Peptidase Inhibition and Analysis 2
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Nilesh Pande (1 shared paper)Diane Copeland (1 shared paper)Mario A. Cabrera-Salazar (1 shared paper)Seng H. Cheng (1 shared paper)Ronald K. Scheule (1 shared paper)Scott D. Bercury (1 shared paper)Lingyun Li (1 shared paper)Mandy Cromwell (1 shared paper)
- Journals
- Tumor Biology (1 paper)International Journal of Oncology (1 paper)The Breast (1 paper)PLoS ONE (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
William Weber
10 papers receiving 150 citations
Peers
Comparison fields: 5 of 42
- Cell Biology 34
- Physiology 50
- Immunology and Allergy 10
- Physiology 8
- Nephrology 11
Countries citing papers authored by William Weber
This map shows the geographic impact of William Weber'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 Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Weber more than expected).
Fields of papers citing papers by William Weber
This network shows the impact of papers produced by William Weber. 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 Weber. The network helps show where William Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside William Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 64 | |
| 2 | 2022 | 29 | |
| 3 | 2013 | 19 | |
| 4 | 1994 | 17 | |
| 5 | 2012 | 15 | |
| 6 | 2019 | 4 | |
| 7 | Familial cancer: genetically determined? (review). | 1983 | 3 |
| 8 | 2009 | 1 | |
| 9 | Stimulation of UV-induced DNA excision repair by chemotherapeutic drugs in cancer patients. | 1994 | 1 |
| 10 | [Morphological studies of tbe epidermal growth factor receptor. Analysis of human tumors and tumor transplants in athymic mice with special reference to salivary gland tumors]. | 1986 | 1 |
About William Weber
William Weber is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Cancer Research, having authored 10 papers that have together received 154 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Peptidase Inhibition and Analysis (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), DNA Repair Mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Cell Biology (34 citations), Physiology (50 citations), Immunology and Allergy (10 citations), Physiology (8 citations) and Nephrology (11 citations). William Weber has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Nilesh Pande, Diane Copeland, Mario A. Cabrera-Salazar, Seng H. Cheng, Ronald K. Scheule, Scott D. Bercury, Lingyun Li, Mandy Cromwell, John P. Leonard and Lucy Phillips. Their work appears in journals such as Tumor Biology, International Journal of Oncology, The Breast, PLoS ONE and Molecular Cancer Therapeutics.
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.