L. David Williams
- Molecular Biology
- Biomaterials top 10%
- Organic Chemistry
- Radiology, Nuclear Medicine and Imaging
- Hematology top 10%
- Co-authors
- Mark G.P. SaiferMendel FriedmanMerry R. ShermanMonika SobczykGenesio MuranoMaggie Miller-AnderssonDavid L. AronsonM.S. Masri
- Topics
- Blood properties and coagulation (3 papers)Enzyme Production and Characterization (3 papers)Protein purification and stability (3 papers)
- Partner nations
- United States
In The Last Decade
L. David Williams
16 papers receiving 544 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 260
- Biomaterials 96
- Organic Chemistry 86
- Radiology, Nuclear Medicine and Imaging 81
- Hematology 73
Countries citing papers authored by L. David Williams
This map shows the geographic impact of L. David 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 L. David Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. David Williams more than expected).
Fields of papers citing papers by L. David Williams
This network shows the impact of papers produced by L. David 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 L. David Williams. The network helps show where L. David Williams may publish in the future.
Co-authorship network of co-authors of L. David Williams
This figure shows the co-authorship network connecting the top 25 collaborators of L. David Williams. A scholar is included among the top collaborators of L. David 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 L. David Williams. L. David 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 | 88 | |
| 2 | 138 | |
| 3 | Improved conjugation of cytokines using high molecular weight poly(ethylene glycol): PEG-GM-CSF as a prototype | 3 |
| 4 | 23 | |
| 5 | 26 | |
| 6 | Administration of gallium nitrate by continuous infusion: lack of chronic nephrotoxicity confirmed by studies of enzymuria and beta 2-microglobulinuria. | 9 |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 88 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 62 | |
| 14 | 40 | |
| 15 | 15 | |
| 16 | 54 |
About L. David Williams
L. David Williams is a scholar working on Biotechnology, Critical Care and Intensive Care Medicine and Small Animals, having authored 16 papers that have together received 583 indexed citations. Recurring topics across this work include Blood properties and coagulation (3 papers), Enzyme Production and Characterization (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Biomaterials (96 citations), Hematology (73 citations) and Pharmaceutical Science (37 citations). L. David Williams has collaborated with scholars based in United States. Frequent co-authors include Mark G.P. Saifer, Mendel Friedman, Merry R. Sherman, Monika Sobczyk, Genesio Murano, Maggie Miller-Andersson, David L. Aronson, M.S. Masri, F. H. Westheimer and Ronald Kluger. Their work appears in journals such as Journal of the American Chemical Society, Analytical Biochemistry and Bioconjugate Chemistry.
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.