William A. Weigand
- Molecular Biology
- Biomedical Engineering
- Biotechnology top 5%
- Genetics
- Control and Systems Engineering top 10%
- Co-authors
- William E. BentleyMatthew P. DeLisaJincai LiRakesh GovindSatish J. ParulekarBenjamin C. StarkFrederick A. KellerVictor F. Smolen
- Topics
- Microbial Metabolic Engineering and Bioproduction (7 papers)Viral Infectious Diseases and Gene Expression in Insects (6 papers)Biofuel production and bioconversion (6 papers)
- Journals
- IEEE Transactions on Automatic ControlAnnals of the New York Academy of SciencesAIChE Journal
- Partner nations
- United States
In The Last Decade
William A. Weigand
33 papers receiving 796 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 604
- Biomedical Engineering 194
- Biotechnology 149
- Genetics 131
- Control and Systems Engineering 70
Countries citing papers authored by William A. Weigand
This map shows the geographic impact of William A. Weigand'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 A. Weigand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William A. Weigand more than expected).
Fields of papers citing papers by William A. Weigand
This network shows the impact of papers produced by William A. Weigand. 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 A. Weigand. The network helps show where William A. Weigand may publish in the future.
Co-authorship network of co-authors of William A. Weigand
This figure shows the co-authorship network connecting the top 25 collaborators of William A. Weigand. A scholar is included among the top collaborators of William A. Weigand 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 William A. Weigand. William A. Weigand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 20 | |
| 7 | 35 | |
| 8 | 12 | |
| 9 | 12 | |
| 10 | 31 | |
| 11 | 5 | |
| 12 | 20 | |
| 13 | 34 | |
| 14 | 24 | |
| 15 | 66 | |
| 16 | 22 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | 1 |
About William A. Weigand
William A. Weigand is a scholar working on Filtration and Separation, Biotechnology and Pollution, having authored 33 papers that have together received 827 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Biofuel production and bioconversion (6 papers). The work is most often cited by research in Biotechnology (149 citations), Molecular Biology (604 citations) and Biophysics (31 citations). William A. Weigand has collaborated with scholars based in United States. Frequent co-authors include William E. Bentley, Matthew P. DeLisa, Jincai Li, Rakesh Govind, Satish J. Parulekar, Benjamin C. Stark, Frederick A. Keller, Victor F. Smolen, Yun‐Fei Ko and Qi Chen. Their work appears in journals such as IEEE Transactions on Automatic Control, Annals of the New York Academy of Sciences and AIChE 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.