Charlene J. Williams
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms 17
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research 13
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid 7
- Genetics top 2%
- Connective tissue disorders research 12
- Dermatological and Skeletal Disorders 5
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- Alkaline Phosphatase Research Studies 10
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- Bone Metabolism and Diseases 6
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Steven L. SabolKenichi YoshikawaDarwin J. ProckopEileen L. ConsidineFrancesco RamirezMon‐Li ChuF. JoséRobert V. Considine
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Charlene J. Williams
63 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Rheumatology 760
- Immunology and Allergy 294
- Endocrine and Autonomic Systems 279
- Nephrology 273
- Genetics 933
Countries citing papers authored by Charlene J. Williams
This map shows the geographic impact of Charlene J. Williams'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 Charlene J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlene J. Williams more than expected).
Fields of papers citing papers by Charlene J. Williams
This network shows the impact of papers produced by Charlene J. Williams. 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 Charlene J. Williams. The network helps show where Charlene J. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charlene J. Williams, 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 | 2018 | 20 | |
| 2 | 2006 | 31 | |
| 3 | 2006 | 20 | |
| 4 | 2005 | 35 | |
| 5 | 2004 | 293 | |
| 6 | 2003 | 54 | |
| 7 | 2002 | 85 | |
| 8 | 2002 | 161 | |
| 9 | Inferences on the phylogenetic relationships of Succineidae (Mollusca, Pulmonata) based on 18S rRNA gene | 2001 | 7 |
| 10 | 1999 | 13 | |
| 11 | 1997 | 21 | |
| 12 | 1996 | 11 | |
| 13 | 1996 | 69 | |
| 14 | 1996 | 59 | |
| 15 | 1995 | 59 | |
| 16 | 1995 | 50 | |
| 17 | 1993 | 81 | |
| 18 | 1992 | 29 | |
| 19 | 1990 | 6 | |
| 20 | Prognostically significant protein components of human breast cancer tissues. | 1976 | 10 |
About Charlene J. Williams
Charlene J. Williams is a scholar working on Immunology and Allergy, Rheumatology and Nephrology, having authored 64 papers that have together received 3.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (17 papers), Cell Adhesion Molecules Research (13 papers), Connective tissue disorders research (12 papers), Alkaline Phosphatase Research Studies (10 papers), Gout, Hyperuricemia, Uric Acid (7 papers), Bone Metabolism and Diseases (6 papers), Dermatological and Skeletal Disorders (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Rheumatology (760 citations), Immunology and Allergy (294 citations) and Endocrine and Autonomic Systems (279 citations). Charlene J. Williams has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Steven L. Sabol, Kenichi Yoshikawa, Darwin J. Prockop, Eileen L. Considine, Francesco Ramirez, Mon‐Li Chu, F. José, Robert V. Considine, Antonio J. Reginato and Thomas M. Hyde. Their work appears in journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.
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.