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
- Oncology 4
- Peptidase Inhibition and Analysis 2
- Co-authors
- Diane Copeland (1 shared paper)Scott D. Bercury (1 shared paper)Ronald K. Scheule (1 shared paper)Nilesh Pande (1 shared paper)John P. Leonard (1 shared paper)Mandy Cromwell (1 shared paper)Lingyun Li (1 shared paper)Mario A. Cabrera-Salazar (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (1 paper)Cells (1 paper)The Breast (1 paper)Tumor Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
William Weber
9 papers receiving 147 citations
Peers
Comparison fields: 5 of 46
- Cell Biology 35
- Physiology 51
- Nephrology 13
- Physiology 8
- Immunology and Allergy 10
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 | 27 | |
| 3 | 2013 | 19 | |
| 4 | 1994 | 17 | |
| 5 | 2012 | 15 | |
| 6 | 2019 | 4 | |
| 7 | Familial cancer: genetically determined? (review). | 1983 | 3 |
| 8 | 2009 | 1 | |
| 9 | [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 |
| 10 | Stimulation of UV-induced DNA excision repair by chemotherapeutic drugs in cancer patients. | 1994 | 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 152 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Peptidase Inhibition and Analysis (2 papers), Pancreatic function and diabetes (1 paper), Renal Diseases and Glomerulopathies (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Lysosomal Storage Disorders Research (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Cell Biology (35 citations), Physiology (51 citations), Nephrology (13 citations), Physiology (8 citations) and Immunology and Allergy (10 citations). William Weber has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Diane Copeland, Scott D. Bercury, Ronald K. Scheule, Nilesh Pande, John P. Leonard, Mandy Cromwell, Lingyun Li, Mario A. Cabrera-Salazar, Seng H. Cheng and H. Gallati. Their work appears in journals such as Molecular Cancer Therapeutics, Cells, The Breast, Tumor Biology and PLoS ONE.
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.