Lisa Williams
- Molecular Biology
- Management Information Systems top 2%
- Strategy and Management top 5%
- Cellular and Molecular Neuroscience top 10%
- Aging top 2%
- Co-authors
- Terry L. EsperJohn T. MentzerCynthia KenyonJohn OzmentKim BoekelheideJohn H. RichburgAdrian NañezDiane E. Renaud
- Topics
- Genetics, Aging, and Longevity in Model Organisms (3 papers)Business Strategy and Innovation (2 papers)Mitochondrial Function and Pathology (2 papers)
- Partner nations
- United StatesNetherlandsIraq
In The Last Decade
Lisa Williams
26 papers receiving 978 citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 284
- Management Information Systems 263
- Strategy and Management 180
- Cellular and Molecular Neuroscience 149
- Aging 100
Countries citing papers authored by Lisa Williams
This map shows the geographic impact of Lisa 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 Lisa Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Williams more than expected).
Fields of papers citing papers by Lisa Williams
This network shows the impact of papers produced by Lisa 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 Lisa Williams. The network helps show where Lisa Williams may publish in the future.
Co-authorship network of co-authors of Lisa Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Williams. A scholar is included among the top collaborators of Lisa Williams 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 Lisa Williams. Lisa Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 29 | |
| 3 | 64 | |
| 4 | 70 | |
| 5 | 90 | |
| 6 | DOD'S SUPPLY CHAIN MANDATE: FROM FACTORY TO FOXHOLE. | 1 |
| 7 | 135 | |
| 8 | 57 | |
| 9 | 30 | |
| 10 | 102 | |
| 11 | 4 | |
| 12 | A MULTIDIMENSIONAL VIEW OF EDI: TESTING THE VALUE OF EDI PARTICIPATION TO FIRMS | 45 |
| 13 | 24 | |
| 14 | 5 | |
| 15 | UNDERSTANDING DISTRIBUTION CHANNELS: AN INTERORGANIZATIONAL STUDY OF EDI ADOPTION / | 54 |
| 16 | A study of interorganizational EDI adoption | 0 |
| 17 | 3 | |
| 18 | 87 | |
| 19 | 5 | |
| 20 | 32 |
About Lisa Williams
Lisa Williams is a scholar working on Aging, Neuropsychology and Physiological Psychology and Management Information Systems, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Business Strategy and Innovation (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (100 citations), Management Information Systems (263 citations) and Periodontics (62 citations). Lisa Williams has collaborated with scholars based in United States, Netherlands and Iraq. Frequent co-authors include Terry L. Esper, John T. Mentzer, Cynthia Kenyon, John Ozment, Kim Boekelheide, John H. Richburg, Adrian Nañez, Diane E. Renaud, David A. Scott and F E Austin. Their work appears in journals such as Journal of Neuroscience, Genetics and FEBS Letters.
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.