Earvin Liang

422 total citations
20 papers, 353 citations indexed

About

Earvin Liang is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Earvin Liang has authored 20 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Physiology. Recurrent topics in Earvin Liang's work include Alzheimer's disease research and treatments (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Phytase and its Applications (3 papers). Earvin Liang is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Phytase and its Applications (3 papers). Earvin Liang collaborates with scholars based in United States, United Kingdom and Spain. Earvin Liang's co-authors include Mehran Yazdanian, Jeff Hughes, John Proudfoot, Steven M. Dinh, Alisa K. Kabcenell, John A. Robson, Hartmut Derendorf, Jeffrey A. Hughes, Suresh K. Alahari and Hoon Yoo and has published in prestigious journals such as Neurology, Methods in enzymology on CD-ROM/Methods in enzymology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Earvin Liang

18 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Earvin Liang United States 11 148 94 47 35 34 20 353
Karishma Patel Australia 10 250 1.7× 143 1.5× 40 0.9× 26 0.7× 22 0.6× 24 512
Sara Belli Switzerland 14 257 1.7× 125 1.3× 31 0.7× 46 1.3× 9 0.3× 22 444
Hyo-Kyung Han United States 9 191 1.3× 177 1.9× 82 1.7× 12 0.3× 14 0.4× 12 493
Adria Colletti United States 13 131 0.9× 90 1.0× 22 0.5× 27 0.8× 14 0.4× 24 372
Jerry Z. Yang United States 8 103 0.7× 77 0.8× 63 1.3× 29 0.8× 5 0.1× 9 293
Janet M. Kolb United States 13 262 1.8× 58 0.6× 12 0.3× 20 0.6× 30 0.9× 15 432
Leonard M. Azzarano United States 10 98 0.7× 117 1.2× 29 0.6× 11 0.3× 9 0.3× 11 289
Diego Eidy Chiba Brazil 5 213 1.4× 30 0.3× 41 0.9× 22 0.6× 11 0.3× 11 438
Christopher Lepsy United States 11 166 1.1× 64 0.7× 9 0.2× 76 2.2× 58 1.7× 18 417
Karen F. Wilkinson United States 11 216 1.5× 117 1.2× 110 2.3× 26 0.7× 9 0.3× 16 585

Countries citing papers authored by Earvin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Earvin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Earvin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Earvin Liang. A scholar is included among the top collaborators of Earvin Liang 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 Earvin Liang. Earvin Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Abushakra, Susan, Anton P. Porsteinsson, Marwan Sabbagh, et al.. (2024). APOLLOE4 Phase 3 study of oral ALZ‐801/valiltramiprosate in APOE ε4/ε4 homozygotes with early Alzheimer's disease: Trial design and baseline characteristics. Alzheimer s & Dementia Translational Research & Clinical Interventions. 10(3). e12498–e12498. 10 indexed citations
3.
4.
SUGAWARA, Michiko, et al.. (2017). Eribulin shows high concentration and long retention in xenograft tumor tissues. Cancer Chemotherapy and Pharmacology. 80(2). 377–384. 11 indexed citations
5.
Liang, Earvin, Pamela D. Garzone, Jesse M. Cedarbaum, et al.. (2013). Pharmacokinetic Profile of Orally Administered Scyllo‐Inositol (Elnd005) in Plasma, Cerebrospinal Fluid and Brain, and Corresponding Effect on Amyloid‐Beta in Healthy Subjects. Clinical Pharmacology in Drug Development. 2(2). 186–194. 10 indexed citations
6.
7.
Lyketsos, Constantine G., Susan Abushakra, Earvin Liang, et al.. (2012). P4‐324: Effects of oral ELND005 (scyllo‐inositol) on neuropsychiatric symptoms in a 78‐week phase 2 study in mild/moderate Alzheimer's disease (AD): Potential role of myo‐inositol reduction. Alzheimer s & Dementia. 8(4S_Part_21). 2 indexed citations
8.
9.
Wagg, Jonathan, Michelle Green, Yan Li, et al.. (2011). P2‐509: Population pharmacokinetic analysis of plasma, cerebrospinal fluid and brain ELND005 in patients with mild to moderate Alzheimer's disease. Alzheimer s & Dementia. 7(4S_Part_13). 1 indexed citations
10.
Raskind, Murray A., Earvin Liang, Reisa Sperling, et al.. (2009). P3‐246: Pharmacokinetics and pharmacodynamics of bapineuzumab following multiple intravenous infusions in patients with mild‐to‐moderate Alzheimer's disease. Alzheimer s & Dementia. 5(4S_Part_14). 2 indexed citations
11.
Liang, Earvin, et al.. (2007). Use of a pH-sensitive fluorescent probe for measuring intracellular pH of Caco-2 cells. International Journal of Pharmaceutics. 338(1-2). 104–109. 31 indexed citations
12.
Liang, Earvin, et al.. (2003). Pharmacokinetics of E5564, a Lipopolysaccharide Antagonist, in Patients with Impaired Hepatic Function. The Journal of Clinical Pharmacology. 43(12). 1361–1369. 6 indexed citations
13.
Liang, Earvin, et al.. (2001). Permeability measurement of macromolecules and assessment of mucosal antigen sampling using in vitro converted M cells. Journal of Pharmacological and Toxicological Methods. 46(2). 93–101. 33 indexed citations
14.
Liang, Earvin, John Proudfoot, & Mehran Yazdanian. (2000). Mechanisms of Transport and Structure-Permeability Relationship of Sulfasalazine and Its Analogs in Caco-2 Cell Monolayers. Pharmaceutical Research. 17(10). 1168–1174. 75 indexed citations
15.
Hughes, Jeff, Hoon Yoo, Suresh K. Alahari, et al.. (2000). In vitro transport and delivery of antisense oligonucleotides. Methods in enzymology on CD-ROM/Methods in enzymology. 313. 342–358. 25 indexed citations
16.
Liang, Earvin, et al.. (2000). Evaluation of an accelerated Caco‐2 cell permeability model. Journal of Pharmaceutical Sciences. 89(3). 336–345. 63 indexed citations
17.
Liang, Earvin, et al.. (2000). Biodegradable pH-sensitive surfactants (BPS) in liposome-mediated nucleic acid cellular uptake and distribution. European Journal of Pharmaceutical Sciences. 11(3). 199–205. 15 indexed citations
18.
Liang, Earvin, et al.. (2000). Evaluation of an accelerated Caco-2 cell permeability model. Journal of Pharmaceutical Sciences. 89(3). 336–336. 3 indexed citations
19.
Liang, Earvin & Jeff Hughes. (1998). Characterization of a pH-sensitive surfactant, dodecyl-2-(1′-imidazolyl) propionate (DIP), and preliminary studies in liposome mediated gene transfer. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1369(1). 39–50. 51 indexed citations
20.
Liang, Earvin & Hartmut Derendorf. (1998). Pitfalls in Pharmacokinetic Multicompartment Analysis. Journal of Pharmacokinetics and Biopharmaceutics. 26(2). 247–260. 10 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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