Beijing Tan

16 papers receiving 447 citations

Peers

Beijing Tan
Comparison fields: 5 of 85
  • Pharmacology 117
  • Endocrinology, Diabetes and Metabolism 117
  • Safety Research 43
  • Spectroscopy 76
  • Oncology 89
Replace Simone Schadt with:
Simone Schadt Switzerland
Yong Ha South Korea
Zoe Riches United Kingdom
Richard Fux Germany
James B. Mangold United States
David J. Borts United States
Vinayak Hosagrahara United States
Daniela Trisciuzzi Italy
Mohd Yaseen Malik India
Beijing Tan relative to Simone Schadt Switzerland Simone Schadt's profile →
Citations per field
00.5×5×10×14.3×
Simone Schadt · 1×
Citations per year

Countries citing papers authored by Beijing Tan

Since Specialization
Citations

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

Fields of papers citing papers by Beijing Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beijing Tan. 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 Beijing Tan. The network helps show where Beijing Tan may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201283
2 200074
3 201161
4 201351
5 201641
6 201335
7 201124
8 201219
9 201017
10 201114
11 200014
12 201113
13 200911
14
DETERMINING THE OPTIMAL DOSE OF MOXIDECTIN FOR ONCHOCERCIASIS VIA PHARMACOKINETIC-PHARMACODYNAMIC (PK-PD) MODELLING OF DATA FROM HEALTHY VOLUNTEERS AND PATIENTS WITH ONCHOCERCIASIS
20173
15 20202
16 20001

About Beijing Tan

Beijing Tan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology, Spectroscopy and Oncology, having authored 16 papers that have together received 463 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers), Cellular Mechanics and Interactions (2 papers), thermodynamics and calorimetric analyses (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Pharmacology (117 citations), Endocrinology, Diabetes and Metabolism (117 citations), Safety Research (43 citations), Spectroscopy (76 citations) and Oncology (89 citations). Beijing Tan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James K. Hardy, Karen Atkinson, Thomas S. McDonald, R. Scott Obach, Li Di, Larry M. Tremaine, Patrick Trapa, Angela Wolford, Yurong Lai and Yi‐An Bi. Their work appears in journals such as Drug Metabolism and Disposition, Bioorganic & Medicinal Chemistry Letters, AAPS PharmSciTech, Journal of Pharmaceutical and Biomedical Analysis and Xenobiotica.

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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