J. Margolis
Impact in
- Genetics top 2%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms
- Hemophilia Treatment and Research
Papers in ⓘ
- Hematology 10
- Hemophilia Treatment and Research 8
- Genetics 8
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
- Co-authors
- K.G. Kenrick (6 shared papers)C.W. Wrigley (5 shared papers)J. D. Harley (1 shared paper)Garry L. Corthals (3 shared papers)R. M. Hardisty (2 shared papers)Elizabeth Bishop (3 shared papers)V. A. Lovric (2 shared papers)P Fantl (1 shared paper)
- Journals
- Nature (8 papers)Immunology and Cell Biology (7 papers)Electrophoresis (5 papers)British Journal of Haematology (4 papers)Analytical Biochemistry (4 papers)
- Partner nations
- AustraliaUnited KingdomSingapore
In The Last Decade
J. Margolis
50 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 130
- Genetics 490
- Hematology 455
- Spectroscopy 236
- Molecular Biology 696
- Cell Biology 141
Countries citing papers authored by J. Margolis
This map shows the geographic impact of J. Margolis'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 J. Margolis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Margolis more than expected).
Fields of papers citing papers by J. Margolis
This network shows the impact of papers produced by J. Margolis. 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 J. Margolis. The network helps show where J. Margolis may publish in the future.
Co-authors
The 20 scholars most cited alongside J. Margolis, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1968 | 359 | |
| 2 | 1958 | 202 | |
| 3 | 1958 | 122 | |
| 4 | 1967 | 109 | |
| 5 | 1963 | 109 | |
| 6 | 1957 | 93 | |
| 7 | 1975 | 83 | |
| 8 | 1960 | 74 | |
| 9 | 1969 | 70 | |
| 10 | 1961 | 65 | |
| 11 | 1970 | 56 | |
| 12 | 1967 | 56 | |
| 13 | 1994 | 53 | |
| 14 | 1958 | 48 | |
| 15 | 1959 | 42 | |
| 16 | 1961 | 42 | |
| 17 | 1956 | 41 | |
| 18 | 1995 | 40 | |
| 19 | 1979 | 40 | |
| 20 | 1962 | 39 |
About J. Margolis
J. Margolis is a scholar working on Hematology, Genetics, Physical and Theoretical Chemistry, Biophysics and Cell Biology, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (8 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Nanopore and Nanochannel Transport Studies (5 papers), Microfluidic and Bio-sensing Technologies (5 papers), Electrostatics and Colloid Interactions (4 papers), Hemoglobin structure and function (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Genetics (490 citations), Hematology (455 citations), Spectroscopy (236 citations), Molecular Biology (696 citations) and Cell Biology (141 citations). J. Margolis has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include K.G. Kenrick, C.W. Wrigley, J. D. Harley, Garry L. Corthals, R. M. Hardisty, Elizabeth Bishop, V. A. Lovric, P Fantl, William P. Campbell and Rosemary Biggs. Their work appears in journals such as Nature, Immunology and Cell Biology, Electrophoresis, British Journal of Haematology 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.