Barbara Nicklas

2.4k citations
24 papers · 1.9k indexed · h-index 18

Barbara Nicklas

24 papers receiving 1.8k citations

Peers

Barbara Nicklas
Comparison fields: 5 of 99
  • Orthopedics and Sports Medicine 396
  • Complementary and alternative medicine 372
  • Physiology 863
  • Rehabilitation 219
  • Cell Biology 336
Replace Charles Paul Lambert with:
Charles Paul Lambert United States
Kai Nyman Finland
Thiago dos Santos Rosa Brazil
Marco Romagnoli Spain
A. S. Leon United States
Kiyoshi Sanada Japan
Jürgen Scharhag Germany
Jacques Mercier France
Lori A. Bateman United States
Darren T. Beck United States
Barbara Nicklas relative to Charles Paul Lambert United States Charles Paul Lambert's profile →
Citations per field
00.5×1.5×1.8×
Charles Paul Lambert · 1×
Citations per year

Countries citing papers authored by Barbara Nicklas

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Nicklas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20195
2 201555
3 201448
4 2014255
5 201330
6 20139
7 201265
8 201297
9 201224
10 201121
11 20105
12 201017
13 200882
14 200842
15 2005188
16 2003254
17 199758
18 1994241
19 199145
20 1989143

About Barbara Nicklas

Barbara Nicklas is a scholar working on Physiology, Rehabilitation and Aging, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (5 papers), Muscle metabolism and nutrition (4 papers), Exercise and Physiological Responses (4 papers), Body Composition Measurement Techniques (3 papers), Muscle Physiology and Disorders (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (396 citations), Complementary and alternative medicine (372 citations) and Physiology (863 citations). Barbara Nicklas has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Dalane W. Kitzman, Stephen B. Kritchevsky, B. F. Hurley, A. P. Goldberg, Mark A. Rubin, Richard E. Pratley, Rick L. Sharp, Mary F. Lyles, A. C. Hackney and Joel Eggebeen. Their work appears in journals such as The Journals of Gerontology Series A, Journal of Applied Physiology, Osteoarthritis and Cartilage, Scandinavian Journal of Medicine and Science in Sports and Age and Ageing.

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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