Hong‐May Sim

684 citations
14 papers · 566 · h-index 10

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Synthesis of Organic Compounds

Papers in

    • Drug Transport and Resistance Mechanisms 12
    • Metal complexes synthesis and properties 3
    • HIV/AIDS drug development and treatment 5

Hong‐May Sim

14 papers receiving 556 citations

Peers

Hong‐May Sim
Comparison fields: 5 of 63
  • Oncology 348
  • Pharmacology 77
  • Molecular Biology 303
  • Infectious Diseases 80
  • Toxicology 14
Replace Yan‐yan Yan with:
Yan‐yan Yan China
Ioana Abraham China
D Mingying China
Yu-Shan Wu Taiwan
Marie Ehrlichová Czechia
Kazumi Sano Japan
Clara Lemos Netherlands
G. Simone Italy
Yue-Li Sun China
Li-Sheng Zheng China
Hong‐May Sim relative to Yan‐yan Yan China Yan‐yan Yan's profile →
Citations per field
00.5×1.5×2.1×
Yan‐yan Yan · 1×
Citations per year

Countries citing papers authored by Hong‐May Sim

Since Specialization
Citations

This map shows the geographic impact of Hong‐May 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 Hong‐May Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong‐May Sim more than expected).

Fields of papers citing papers by Hong‐May Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐May 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 Hong‐May Sim. The network helps show where Hong‐May Sim may publish in the future.

Co-authors

The 25 scholars most cited alongside Hong‐May 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 Hong‐May Sim Line = papers co-authored together Hong‐May Sim links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2019192
2 2015110
3 200869
4 201258
5 201235
6 201329
7 201126
8 201417
9 201117
10 20139
11 20121
12 20131
13 20131
14 20141

About Hong‐May Sim

Hong‐May Sim is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Organic Chemistry and Surgery, having authored 14 papers that have together received 566 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), HIV/AIDS drug development and treatment (5 papers), Metal complexes synthesis and properties (3 papers), Cholesterol and Lipid Metabolism (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Oncology (348 citations), Pharmacology (77 citations), Molecular Biology (303 citations), Infectious Diseases (80 citations) and Toxicology (14 citations). Hong‐May Sim has collaborated with scholars based in United States, Taiwan and Singapore. Frequent co-authors include Suresh V. Ambudkar, Eduardo E. Chufán, Haneen Amawi, Suneet Shukla, Amit K. Tiwari, Mei‐Lin Go, Chong Yew Lee, Pui Lai Rachel Ee, Chung‐Pu Wu and Sung-Han Hsiao. Their work appears in journals such as Biochemical Pharmacology, Biophysical Journal, Cancer Research, Journal of Cellular Biochemistry and Advances in experimental medicine and biology.

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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