Edith Sim

11.4k citations
184 papers · 7.9k · h-index 50

Impact in

Papers in

    • Polyamine Metabolism and Applications 37
    • Epigenetics and DNA Methylation 22
    • Biochemical and Molecular Research 21
    • Tuberculosis Research and Epidemiology 27

Edith Sim

181 papers receiving 7.7k citations

Peers

Edith Sim
Comparison fields: 5 of 141
  • Pharmacology 972
  • Biochemistry 656
  • Cancer Research 1.2k
  • Molecular Biology 4.5k
  • Infectious Diseases 916
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TOMIO TAKEUCHI Japan
Susan P.C. Cole Canada
David T. Vistica United States
William Roush United States
Gergely Szakács Hungary
Gary H. Posner United States
I Pastan United States
Philip Skehan United States
Heidi R. Bokesch United States
Raymond Evers United States
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Citations per field
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Citations per year

Countries citing papers authored by Edith Sim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Edith Sim Line = papers co-authored together Edith Sim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007425
2 1995318
3 2005316
4 1981259
5 1995211
6 1995181
7 2000165
8 1986149
9 2002142
10 1998114
11 1981114
12 1982114
13 1999107
14 2008100
15 199495
16 200793
17 200891
18
Arylamine N-acetyltransferase-1 is highly expressed in breast cancers and conveys enhanced growth and resistance to etoposide in vitro.
200389
19
Current smoking, occupation, N-acetyltransferase-2 and bladder cancer: a pooled analysis of genotype-based studies.
200189
20 200288

About Edith Sim

Edith Sim is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Cancer Research and Epidemiology, having authored 184 papers that have together received 7.9k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (37 papers), Tuberculosis Research and Epidemiology (27 papers), Complement system in diseases (23 papers), Epigenetics and DNA Methylation (22 papers), Carcinogens and Genotoxicity Assessment (22 papers), Biochemical and Molecular Research (21 papers), Amino Acid Enzymes and Metabolism (20 papers) and Enzyme Structure and Function (17 papers). The work is most often cited by research in Pharmacology (972 citations), Biochemistry (656 citations), Cancer Research (1.2k citations), Molecular Biology (4.5k citations) and Infectious Diseases (916 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, M.E.M. Noble, Angela Risch, James Sandy, Adeel Mushtaq, Dean Hickman, Akane Kawamura and Elizabeth Fullam. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, Biochemical Pharmacology, FEBS Letters and Bioorganic & Medicinal Chemistry Letters.

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.

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