Amber Pond

3.6k citations
56 papers · 2.5k · h-index 23

Impact in

Papers in

Amber Pond

52 papers receiving 2.4k citations

Peers

Amber Pond
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 1.2k
  • Rehabilitation 154
  • Cellular and Molecular Neuroscience 438
  • Molecular Biology 1.2k
  • Neurology 103
Replace Bing Xu with:
Bing Xu China
O. Pastoris Italy
Adelino Sánchez Ramos da Silva Brazil
Susanne K. Sauer Germany
Rebecca E. K. MacPherson Canada
Marta Tomàs Spain
Suk Hyo Suh South Korea
Ari Koivisto Finland
Leonardo R. Silveira Brazil
Hsinlin T. Cheng United States
Amber Pond relative to Bing Xu China Bing Xu's profile →
Citations per field
00.5×7.7×
Bing Xu · 1×
Citations per year

Countries citing papers authored by Amber Pond

Since Specialization
Citations

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

Fields of papers citing papers by Amber Pond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997465
2 1999445
3 1999174
4 2010151
5 2000144
6 200898
7 199579
8 200375
9 200470
10 201563
11 201560
12 201357
13 201657
14 201751
15 200950
16 201549
17 200142
18 201842
19 199837
20 200632

About Amber Pond

Amber Pond is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), Muscle activation and electromyography studies (17 papers), Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (7 papers), Cardiomyopathy and Myosin Studies (6 papers), Genetic Neurodegenerative Diseases (5 papers), Exercise and Physiological Responses (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Rehabilitation (154 citations), Cellular and Molecular Neuroscience (438 citations), Molecular Biology (1.2k citations) and Neurology (103 citations). Amber Pond has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Jeanne M. Nerbonne, David R. Van Wagoner, Patrick M. McCarthy, James S. Trimmer, Sandra Rossie, Janice E. Chambers, Howard W. Chambers, Helmut Kern, Ugo Carraro and Sandra Zampieri. Their work appears in journals such as Circulation Research, The FASEB Journal, Journal of Neuropathology & Experimental Neurology, Poultry Science and Journal of Neurochemistry.

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.

Explore authors with similar magnitude of impact