Beijing Tan

743 total citations
16 papers, 445 citations indexed

About

Beijing Tan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Beijing Tan has authored 16 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Pharmacology. Recurrent topics in Beijing Tan's work include Diabetes Treatment and Management (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Beijing Tan is often cited by papers focused on Diabetes Treatment and Management (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Beijing Tan collaborates with scholars based in United States. Beijing Tan's co-authors include James K. Hardy, Karen Atkinson, Thomas S. McDonald, R. Scott Obach, Li Di, Yi‐An Bi, Angela Wolford, Patrick Trapa, Yurong Lai and Larry M. Tremaine and has published in prestigious journals such as Analytica Chimica Acta, American Journal of Physiology-Endocrinology and Metabolism and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Beijing Tan

16 papers receiving 434 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Beijing Tan United States	12	176	126	115	85	84	16	445
Teruaki Okuda Japan	14	114 0.6×	66 0.5×	97 0.8×	58 0.7×	55 0.7×	25	463
Thomas S. McDonald United States	16	216 1.2×	66 0.5×	126 1.1×	84 1.0×	45 0.5×	27	610
Teija Oinonen Finland	13	282 1.6×	59 0.5×	233 2.0×	117 1.4×	61 0.7×	19	699
Schroeder M. Noble United States	9	202 1.1×	133 1.1×	226 2.0×	107 1.3×	38 0.5×	15	507
Cornelia M. Smith United States	6	110 0.6×	52 0.4×	258 2.2×	126 1.5×	29 0.3×	7	574
James B. Mangold United States	15	172 1.0×	121 1.0×	206 1.8×	167 2.0×	52 0.6×	26	645
Caitlin Lynch United States	14	154 0.9×	88 0.7×	171 1.5×	91 1.1×	25 0.3×	26	464
Setsuko Komuro Japan	13	134 0.8×	49 0.4×	226 2.0×	194 2.3×	26 0.3×	34	511
P E Sanders United States	12	214 1.2×	38 0.3×	121 1.1×	78 0.9×	54 0.6×	20	526

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-authorship network of co-authors of Beijing Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Beijing Tan. A scholar is included among the top collaborators of Beijing Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beijing Tan. Beijing Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Tan, Beijing, et al.. (2020). Absorptive Capacity, External Knowledge Search, and Radical Innovation: A fsQCA Analysis. Academy of Management Proceedings. 2020(1). 19120–19120. 2 indexed citations

Jamsen, Kris M., Carl M. J. Kirkpatrick, Nicholas Opoku, et al.. (2017). DETERMINING THE OPTIMAL DOSE OF MOXIDECTIN FOR ONCHOCERCIASIS VIA PHARMACOKINETIC-PHARMACODYNAMIC (PK-PD) MODELLING OF DATA FROM HEALTHY VOLUNTEERS AND PATIENTS WITH ONCHOCERCIASIS. American Journal of Tropical Medicine and Hygiene. 97(5). 238–239. 3 indexed citations

Kazierad, David J., Arthur Bergman, Beijing Tan, et al.. (2016). Effects of multiple ascending doses of the glucagon receptor antagonist PF ‐06291874 in patients with type 2 diabetes mellitus. Diabetes Obesity and Metabolism. 18(8). 795–802. 41 indexed citations

Di, Li, Karen Atkinson, Christine C. Orozco, et al.. (2013). In Vitro–In Vivo Correlation for Low-Clearance Compounds Using Hepatocyte Relay Method. Drug Metabolism and Disposition. 41(12). 2018–2023. 45 indexed citations

Guzmán-Pérez, Angel, Jeffrey A. Pfefferkorn, Benjamin D. Stevens, et al.. (2013). The design and synthesis of a potent glucagon receptor antagonist with favorable physicochemical and pharmacokinetic properties as a candidate for the treatment of type 2 diabetes mellitus. Bioorganic & Medicinal Chemistry Letters. 23(10). 3051–3058. 35 indexed citations

Di, Li, Patrick Trapa, R. Scott Obach, et al.. (2012). A Novel Relay Method for Determining Low-Clearance Values. Drug Metabolism and Disposition. 40(9). 1860–1865. 78 indexed citations

Tan, Beijing, et al.. (2012). Utilization of Hydrophilic-Interaction Lc to Minimize Matrix Effects Caused By Phospholipids. Bioanalysis. 4(16). 2049–2058. 19 indexed citations

Filipski, Kevin J., Jianwei Bian, David C. Ebner, et al.. (2011). A novel series of glucagon receptor antagonists with reduced molecular weight and lipophilicity. Bioorganic & Medicinal Chemistry Letters. 22(1). 415–420. 23 indexed citations

Kalgutkar, Amit S., Meera Tugnait, Tong Zhu, et al.. (2011). Preclinical Species and Human Disposition of PF-04971729, a Selective Inhibitor of the Sodium-Dependent Glucose Cotransporter 2 and Clinical Candidate for the Treatment of Type 2 Diabetes Mellitus. Drug Metabolism and Disposition. 39(9). 1609–1619. 59 indexed citations

10.

Rago, Brian, Jianhua Liu, Beijing Tan, & Christopher L. Holliman. (2011). Application of the dried spot sampling technique for rat cerebrospinal fluid sample collection and analysis. Journal of Pharmaceutical and Biomedical Analysis. 55(5). 1201–1207. 14 indexed citations

11.

Straub, Stephen V., Beijing Tan, Kimberly A. Coughlan, et al.. (2011). Pharmacological inhibition of Kv1.3 fails to modulate insulin sensitivity in diabetic mice or human insulin-sensitive tissues. American Journal of Physiology-Endocrinology and Metabolism. 301(2). E380–E390. 13 indexed citations

12.

Litchfield, John, Raman Sharma, Karen Atkinson, et al.. (2010). Intrinsic electrophilicity of the 4-methylsulfonyl-2-pyridone scaffold in glucokinase activators: Role of glutathione-S-transferases and in vivo quantitation of a glutathione conjugate in rats. Bioorganic & Medicinal Chemistry Letters. 20(21). 6262–6267. 17 indexed citations

13.

Steenwyk, Rick C. & Beijing Tan. (2009). In vitroevidence for the formation of reactive intermediates of resveratrol in human liver microsomes. Xenobiotica. 40(1). 62–71. 10 indexed citations

14.

Tuthill, Cynthia, et al.. (2000). Quantitative analysis of thymosin α1 in human serum by LC-MS/MS. AAPS PharmSciTech. 1(2). 37–44. 14 indexed citations

15.

Tuthill, Cynthia, et al.. (2000). Quantitative analysis of thymosin α1 in human serum by LC-MS/MS. AAPS PharmSciTech. 1(2). 37–44. 1 indexed citations

16.

Tan, Beijing, et al.. (2000). Accelerant classification by gas chromatography/mass spectrometry and multivariate pattern recognition. Analytica Chimica Acta. 422(1). 37–46. 71 indexed citations

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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