Lisa Williams

1.4k total citations
29 papers, 1.1k citations indexed

About

Lisa Williams is a scholar working on Molecular Biology, Strategy and Management and Management Information Systems. According to data from OpenAlex, Lisa Williams has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Strategy and Management and 3 papers in Management Information Systems. Recurrent topics in Lisa Williams's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Business Strategy and Innovation (2 papers) and Mitochondrial Function and Pathology (2 papers). Lisa Williams is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), Business Strategy and Innovation (2 papers) and Mitochondrial Function and Pathology (2 papers). Lisa Williams collaborates with scholars based in United States, Netherlands and Iraq. Lisa Williams's 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 and has published in prestigious journals such as Journal of Neuroscience, Genetics and FEBS Letters.

In The Last Decade

Lisa Williams

26 papers receiving 978 citations

Peers

Lisa Williams
Comparison fields: 5 of 146
  • Molecular Biology 284
  • Management Information Systems 263
  • Strategy and Management 180
  • Cellular and Molecular Neuroscience 149
  • Aging 100
Replace Paul Roberts with:
Paul Roberts United States
Atsushi Aoyama Japan
Suman Mukhopadhyay India
Kaushik Sengupta India
Yijing Wang China
Maria Andersson Sweden
Hee-Jung Lee South Korea
Hyung-Su Kim South Korea
Kevin Yang United States
Hoi‐Hung Cheung Hong Kong
Paul Roberts United States View profile →
Citations per field, relative to Lisa Williams
Lisa Williams · 1×
Citations per year, relative to Lisa Williams
Lisa Williams · 1×

Countries citing papers authored by Lisa Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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