Pam R. Taub

7.6k citations
124 papers · 4.3k indexed · 6 hit papers · h-index 32

Pam R. Taub

110 papers receiving 4.2k citations

Hit Papers

A focused update to the...1272019202620212023200400600

Peers

Pam R. Taub
Comparison fields: 5 of 153
  • Endocrine and Autonomic Systems 790
  • Physiology 1.6k
  • Aging 97
  • Cardiology and Cardiovascular Medicine 1.1k
  • Biochemistry 247
Replace María J. Moreno‐Aliaga with:
María J. Moreno‐Aliaga Spain
Nicola Di Daniele Italy
Manfredi Tesauro Italy
Andreas L. Birkenfeld Germany
Naftali Stern Israel
Peter Kopelman United Kingdom
Rutai Hui China
M Varricchio Italy
Béatrice Morio France
Jussi Pihlajamäki Finland
Pam R. Taub relative to María J. Moreno‐Aliaga Spain María J. Moreno‐Aliaga's profile →
Citations per field
00.5×
María J. Moreno‐Aliaga · 1×
Citations per year

Countries citing papers authored by Pam R. Taub

Since Specialization
Citations

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

Fields of papers citing papers by Pam R. Taub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pam R. Taub. 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 Pam R. Taub. The network helps show where Pam R. Taub may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20250
4 20251
5 20250
6 20252
7 20230
8
Feasibility of time-restricted eating and impacts on cardiometabolic health in 24-h shift workers: The Healthy Heroes randomized control trialbreakdown →
2022111
9 202215
10 20229
11 202270
12 202112
13 20202
14 202019
15 202013
16 201730
17 201670
18 201411
19 201328
20 20111

About Pam R. Taub

Pam R. Taub is a scholar working on Cardiology and Cardiovascular Medicine, Biochemistry and Endocrine and Autonomic Systems, having authored 124 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Heart Failure Treatment and Management (15 papers), Dietary Effects on Health (14 papers), Diet and metabolism studies (13 papers), Heart Rate Variability and Autonomic Control (10 papers), Cardiac Health and Mental Health (10 papers), Cardiovascular Function and Risk Factors (9 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (790 citations), Physiology (1.6k citations) and Aging (97 citations). Pam R. Taub has collaborated with scholars based in United States, Mexico and Poland. Frequent co-authors include Emily N. C. Manoogian, Satchidananda Panda, Adena Zadourian, Iwona Świątkiewicz, Michael J. Wilkinson, Hannah Lo, Francisco Villarreal, Alan S. Maisel, Guillermo Ceballos and Israel Ramírez‐Sánchez. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Gastroenterology.

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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