Larry Z. Shen

4.0k citations
34 papers · 3.2k · h-index 22

Impact in

Papers in

Larry Z. Shen

32 papers receiving 3.0k citations

Peers

Larry Z. Shen
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Statistics and Probability 441
  • Endocrine and Autonomic Systems 210
  • Pharmacology 433
  • Surgery 894
Replace Zvonko Miličević with:
Zvonko Miličević United States
James P. Mancuso United States
Weichung Shih United States
Jenny Han United States
Peter P. Stein United States
P. Fleck United States
Hans‐Juergen Woerle Germany
Trevor J. Powles United Kingdom
William Duggan United States
Gary Herman United States
Larry Z. Shen relative to Zvonko Miličević United States Zvonko Miličević's profile →
Citations per field
00.5×10×16.3×
Zvonko Miličević · 1×
Citations per year

Countries citing papers authored by Larry Z. Shen

Since Specialization
Citations

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

Fields of papers citing papers by Larry Z. Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry Z. Shen. 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 Larry Z. Shen. The network helps show where Larry Z. Shen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005369
2 2003307
3 2010289
4 1996271
5 2003259
6 2004231
7 2002223
8 2004197
9 2004153
10 2011126
11 2010122
12 1996116
13 200583
14 201080
15 199957
16 200547
17 200347
18 200347
19 200535
20 201233

About Larry Z. Shen

Larry Z. Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability, Statistics, Probability and Uncertainty, Molecular Biology and Dermatology, having authored 34 papers that have together received 3.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (3 papers), Diabetes Management and Research (2 papers), Meta-analysis and systematic reviews (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Statistics and Probability (441 citations), Endocrine and Autonomic Systems (210 citations), Pharmacology (433 citations) and Surgery (894 citations). Larry Z. Shen has collaborated with scholars based in United States, Sweden and Norway. Frequent co-authors include Mark Fineman, Orville Kolterman, John O’Quigley, Alain Baron, Kristin Taylor, David Maggs, James A. Ruggles, Dennis Dong Hwan Kim, Christian Weyer and S. Strobel. Their work appears in journals such as Diabetes Care, Journal of Biopharmaceutical Statistics, Drug Information Journal, Biometrics and American Journal of Health-System Pharmacy.

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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