Edith Sim
Impact in
- Pharmacology top 0.02%
- Pharmacogenetics and Drug Metabolism
- Immunology top 2%
- Complement system in diseases
Papers in
- Pharmacology 92
- Pharmacogenetics and Drug Metabolism 92
- Immunology 25
- Complement system in diseases 25
- Co-authors
- Robert B. Sim (20 shared papers)Isaac M. Westwood (24 shared papers)Sotiria Boukouvala (11 shared papers)Martin Noble (13 shared papers)James Sandy (13 shared papers)Adeel Mushtaq (10 shared papers)Angela Risch (10 shared papers)Elizabeth Fullam (13 shared papers)
- Journals
- Biochemical Journal (19 papers)Biochemical Society Transactions (10 papers)Biochemical Pharmacology (8 papers)FEBS Letters (5 papers)PLoS ONE (4 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Edith Sim
195 papers receiving 9.2k citations
Edith Sim's Hit Papers
Peers
Comparison fields: 5 of 122
- Pharmacology 3.8k
- Immunology 969
- Infectious Diseases 795
- Cancer Research 354
- Molecular Biology 1.6k
Countries citing papers authored by Edith Sim
This map shows the geographic impact of Edith Sim'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 Edith Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edith Sim more than expected).
Fields of papers citing papers by Edith Sim
This network shows the impact of papers produced by Edith Sim. 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 Edith Sim. The network helps show where Edith Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Edith Sim, 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 198 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metabolic gene polymorphism frequencies in control populations. Hit paper breakdown → | 2001 | 746 |
| 2 | 2007 | 459 | |
| 3 | 2005 | 366 | |
| 4 | 1995 | 332 | |
| 5 | 1981 | 275 | |
| 6 | 1995 | 220 | |
| 7 | 1995 | 194 | |
| 8 | 2000 | 174 | |
| 9 | 1986 | 161 | |
| 10 | 2002 | 148 | |
| 11 | 1998 | 130 | |
| 12 | 1981 | 124 | |
| 13 | 2008 | 120 | |
| 14 | 1982 | 118 | |
| 15 | 1999 | 114 | |
| 16 | 2008 | 104 | |
| 17 | 2007 | 103 | |
| 18 | 2000 | 101 | |
| 19 | 2012 | 101 | |
| 20 | 2001 | 99 |
About Edith Sim
Edith Sim is a scholar working on Pharmacology, Immunology, Rheumatology, Infectious Diseases and Materials Chemistry, having authored 198 papers that have together received 9.5k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (92 papers), Enzyme Structure and Function (29 papers), Complement system in diseases (25 papers), Tuberculosis Research and Epidemiology (22 papers), Systemic Lupus Erythematosus Research (11 papers), Bioactive Compounds and Antitumor Agents (7 papers), Folate and B Vitamins Research (7 papers) and Lipid Membrane Structure and Behavior (6 papers). The work is most often cited by research in Pharmacology (3.8k citations), Immunology (969 citations), Infectious Diseases (795 citations), Cancer Research (354 citations) and Molecular Biology (1.6k citations). Edith Sim has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Robert B. Sim, Isaac M. Westwood, Sotiria Boukouvala, Martin Noble, James Sandy, Adeel Mushtaq, Angela Risch, Elizabeth Fullam, Dean Hickman and Akane Kawamura. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, Biochemical Pharmacology, FEBS Letters and PLoS ONE.
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.