William D. Mallender
- Pharmacology top 1%
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Plant Science top 10%
- Organic Chemistry top 10%
- Co-authors
- Terrone L. RosenberryT. SzegletesEdward W. VossPatrick J. ThomasNibaldo C. InestrosaG. FerrariGitay KrygerJoel L. Sussman
- Topics
- Computational Drug Discovery Methods (9 papers)Cholinesterase and Neurodegenerative Diseases (9 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
William D. Mallender
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Pharmacology 717
- Molecular Biology 655
- Computational Theory and Mathematics 451
- Plant Science 285
- Organic Chemistry 220
Countries citing papers authored by William D. Mallender
This map shows the geographic impact of William D. Mallender'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 D. Mallender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Mallender more than expected).
Fields of papers citing papers by William D. Mallender
This network shows the impact of papers produced by William D. Mallender. 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 D. Mallender. The network helps show where William D. Mallender may publish in the future.
Co-authorship network of co-authors of William D. Mallender
This figure shows the co-authorship network connecting the top 25 collaborators of William D. Mallender. A scholar is included among the top collaborators of William D. Mallender 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 D. Mallender. William D. Mallender is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 34 | |
| 4 | 11 | |
| 5 | 31 | |
| 6 | 66 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 27 | |
| 10 | 27 | |
| 11 | 46 | |
| 12 | 13 | |
| 13 | 45 | |
| 14 | 148 | |
| 15 | 86 | |
| 16 | 13 | |
| 17 | 44 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | 18 |
About William D. Mallender
William D. Mallender is a scholar working on Computational Theory and Mathematics, Pharmacology and Biological Psychiatry, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Pharmacology (717 citations), Computational Theory and Mathematics (451 citations) and Molecular Biology (655 citations). William D. Mallender has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Terrone L. Rosenberry, T. Szegletes, Edward W. Voss, Patrick J. Thomas, Nibaldo C. Inestrosa, G. Ferrari, Gitay Kryger, Joel L. Sussman, Terence Lewis and J.M. Guss. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.
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.