Lawrence Lin

2.6k citations
35 papers · 1.8k · 1 hit paper · h-index 17

Impact in

Papers in

Lawrence Lin

35 papers receiving 1.8k citations

Lawrence Lin's Hit Papers

SLC transporters as therapeutic targets: emerging opportunities 2015 · 618 citations
6180+3+7Years since publication200400600

Peers

Lawrence Lin
Comparison fields: 5 of 164
  • Statistics, Probability and Uncertainty 180
  • Biochemistry 176
  • Statistics and Probability 141
  • Oncology 283
  • Hematology 101
Replace David P. Lovell with:
David P. Lovell United Kingdom
Gilbert Schönfelder Germany
Andreas Krause Switzerland
Nengjun Yi United States
Muhammad Farooq Pakistan
Johan Lund Sweden
John D. McConnell United States
Jonathan D. Stallings United States
Neil Miller United States
Hanzhong Liu China
Lawrence Lin relative to David P. Lovell United Kingdom David P. Lovell's profile →
Citations per field
00.5×5×11.7×
David P. Lovell · 1×
Citations per year

Countries citing papers authored by Lawrence Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SLC transporters as therapeutic targets: emerging opportunities
Hit paper breakdown →
2015618
2 2002334
3 2014102
4 2011102
5 200794
6
Coefficient of accuracy and concordance correlation coefficient: new statistics for methods comparison.
199890
7 201348
8 201445
9 201644
10 201643
11 201541
12 201641
13 200730
14 201729
15 201329
16 200921
17 201718
18 200316
19 201515
20 20219

About Lawrence Lin

Lawrence Lin is a scholar working on Statistics, Probability and Uncertainty, Surgery, Molecular Biology, Management Science and Operations Research and Biochemistry, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reliability and Agreement in Measurement (7 papers), Hemodynamic Monitoring and Therapy (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Multi-Criteria Decision Making (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Statistical Methods in Clinical Trials (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (180 citations), Biochemistry (176 citations), Statistics and Probability (141 citations), Oncology (283 citations) and Hematology (101 citations). Lawrence Lin has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Kathleen M. Giacomini, Sook Wah Yee, Richard B. Kim, A. Hedayat, Bikas K. Sinha, Min Yang, Wenting Wu, Kevin M. Lewis, Andreas Goppelt and Michael Gamalinda. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Clinical Pharmacology & Therapeutics, Bioorganic & Medicinal Chemistry Letters, BioMetals and PROTEOMICS.

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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