Philip Hoffman
Impact in
- Cell Biology top 0.5%
- Proteoglycans and glycosaminoglycans research
- Equine top 5%
Papers in ⓘ
- Cell Biology 25
- Proteoglycans and glycosaminoglycans research 23
- Co-authors
- Karl Meyer (22 shared papers)Alfred Linker (15 shared papers)Bonnie Anderson (4 shared papers)Eugene A. Davidson (1 shared paper)Nobuko Seno (2 shared papers)Phyllis Sampson (4 shared papers)Shigehiro Hirano (2 shared papers)Edward D. Korn (2 shared papers)
- Journals
- Journal of Biological Chemistry (13 papers)Analytical Biochemistry (4 papers)Science (4 papers)Ultramicroscopy (3 papers)Journal of the American Veterinary Medical Association (3 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Philip Hoffman
50 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cell Biology 1.2k
- Equine 44
- Biotechnology 163
- Aquatic Science 130
- Rheumatology 258
Countries citing papers authored by Philip Hoffman
This map shows the geographic impact of Philip Hoffman'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 Philip Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Hoffman more than expected).
Fields of papers citing papers by Philip Hoffman
This network shows the impact of papers produced by Philip Hoffman. 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 Philip Hoffman. The network helps show where Philip Hoffman may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Hoffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The acid mucopolysaccharides of connective tissue Hit paper breakdown → | 1956 | 506 |
| 2 | 1965 | 183 | |
| 3 | 1956 | 167 | |
| 4 | 1965 | 164 | |
| 5 | 1964 | 83 | |
| 6 | 1956 | 82 | |
| 7 | 1957 | 81 | |
| 8 | 1960 | 80 | |
| 9 | 1960 | 80 | |
| 10 | 1958 | 67 | |
| 11 | 1958 | 63 | |
| 12 | 1961 | 58 | |
| 13 | 1963 | 53 | |
| 14 | 2004 | 46 | |
| 15 | 1961 | 38 | |
| 16 | 1960 | 37 | |
| 17 | 1972 | 37 | |
| 18 | 1958 | 36 | |
| 19 | 1957 | 35 | |
| 20 | 1967 | 34 |
About Philip Hoffman
Philip Hoffman is a scholar working on Cell Biology, Structural Biology, Equine, Biomaterials and Biophysics, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (23 papers), Glycosylation and Glycoproteins Research (11 papers), Collagen: Extraction and Characterization (7 papers), Carbohydrate Chemistry and Synthesis (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Neuroendocrine regulation and behavior (4 papers), Connective tissue disorders research (3 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Cell Biology (1.2k citations), Equine (44 citations), Biotechnology (163 citations), Aquatic Science (130 citations) and Rheumatology (258 citations). Philip Hoffman has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Karl Meyer, Alfred Linker, Bonnie Anderson, Eugene A. Davidson, Nobuko Seno, Phyllis Sampson, Shigehiro Hirano, Edward D. Korn, Karl Meyer and Sanjay Kumar Shukla. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry, Science, Ultramicroscopy and Journal of the American Veterinary Medical Association.
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.