Anna E. Mattlage

563 total citations
17 papers, 421 citations indexed

About

Anna E. Mattlage is a scholar working on Cardiology and Cardiovascular Medicine, Rehabilitation and Complementary and alternative medicine. According to data from OpenAlex, Anna E. Mattlage has authored 17 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 8 papers in Rehabilitation and 7 papers in Complementary and alternative medicine. Recurrent topics in Anna E. Mattlage's work include Stroke Rehabilitation and Recovery (8 papers), Cardiovascular and exercise physiology (7 papers) and Acute Ischemic Stroke Management (4 papers). Anna E. Mattlage is often cited by papers focused on Stroke Rehabilitation and Recovery (8 papers), Cardiovascular and exercise physiology (7 papers) and Acute Ischemic Stroke Management (4 papers). Anna E. Mattlage collaborates with scholars based in United States. Anna E. Mattlage's co-authors include Sandra A. Billinger, Michael Rippee, Pierce Boyne, Kari Dunning, Michael Abraham, Marilyn M. Rymer, Ashley A. Herda, Jeffrey M. Gidday, Jin‐Moo Lee and Marghuretta D. Bland and has published in prestigious journals such as PLoS ONE, Experimental Brain Research and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Anna E. Mattlage

17 papers receiving 409 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna E. Mattlage United States 10 258 128 116 102 80 17 421
Nicholas Giacomantonio Canada 11 201 0.8× 120 0.9× 326 2.8× 126 1.2× 49 0.6× 35 624
Junko Fujitani Japan 9 174 0.7× 84 0.7× 46 0.4× 17 0.2× 34 0.4× 30 412
Kyoshi Mase Japan 14 234 0.9× 118 0.9× 28 0.2× 20 0.2× 71 0.9× 33 502
Lívia Pinheiro Carvalho Canada 14 88 0.3× 36 0.3× 52 0.4× 68 0.7× 25 0.3× 30 528
Diana Rimaud France 13 154 0.6× 13 0.1× 37 0.3× 51 0.5× 26 0.3× 27 382
Susan S. Glenney United States 5 136 0.5× 44 0.3× 15 0.1× 15 0.1× 146 1.8× 11 415
Matthew O.B. Olaogun Nigeria 12 87 0.3× 56 0.4× 27 0.2× 8 0.1× 36 0.5× 22 339
Matthias Hütler Germany 13 129 0.5× 45 0.4× 60 0.5× 194 1.9× 36 0.5× 18 525
I. Fayolle-Minon France 12 96 0.4× 152 1.2× 23 0.2× 22 0.2× 42 0.5× 29 428
Simon Nichols United Kingdom 15 77 0.3× 33 0.3× 333 2.9× 182 1.8× 21 0.3× 41 546

Countries citing papers authored by Anna E. Mattlage

Since Specialization
Citations

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

Fields of papers citing papers by Anna E. Mattlage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna E. Mattlage. 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 Anna E. Mattlage. The network helps show where Anna E. Mattlage may publish in the future.

Co-authorship network of co-authors of Anna E. Mattlage

This figure shows the co-authorship network connecting the top 25 collaborators of Anna E. Mattlage. A scholar is included among the top collaborators of Anna E. Mattlage based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna E. Mattlage. Anna E. Mattlage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Bland, Marghuretta D., Anna E. Mattlage, Ling Chen, et al.. (2020). Effects of remote limb ischemic conditioning on muscle strength in healthy young adults: A randomized controlled trial. PLoS ONE. 15(2). e0227263–e0227263. 18 indexed citations
2.
Mattlage, Anna E., Marghuretta D. Bland, Jeffrey M. Gidday, et al.. (2019). Dose of remote limb ischemic conditioning for enhancing learning in healthy young adults. Experimental Brain Research. 237(6). 1493–1502. 5 indexed citations
3.
Mattlage, Anna E., Marghuretta D. Bland, Kendra M. Cherry‐Allen, et al.. (2018). Remote Limb Ischemic Conditioning and Motor Learning: Evaluation of Factors Influencing Response in Older Adults. Translational Stroke Research. 10(4). 362–371. 9 indexed citations
4.
Wilson, David R., et al.. (2017). Recumbent Stepper Submaximal Test response is reliable in adults with and without stroke. PLoS ONE. 12(2). e0172294–e0172294. 15 indexed citations
5.
Mattlage, Anna E., et al.. (2016). Decrease in Insulin-Like Growth Factor-1 and Insulin-Like Growth Factor-1 Ratio in the First Week of Stroke Is Related to Positive Outcomes. Journal of Stroke and Cerebrovascular Diseases. 25(7). 1800–1806. 18 indexed citations
6.
Mattlage, Anna E., et al.. (2016). Estimated Prestroke Peak VO2 Is Related to Circulating IGF-1 Levels During Acute Stroke. Neurorehabilitation and neural repair. 31(1). 65–71. 11 indexed citations
7.
Billinger, Sandra A., Anna E. Mattlage, Abdulfattah S. Alqahtani, et al.. (2016). The relationship of pro-inflammatory markers to vascular endothelial function after acute stroke. International Journal of Neuroscience. 127(6). 486–492. 20 indexed citations
8.
Mattlage, Anna E., et al.. (2016). Use of a Nonexercise Estimate for Prestroke Peak Vo 2 During the Acute Stroke Hospital Stay. Cardiopulmonary Physical Therapy Journal. 27(3). 96–103. 5 indexed citations
9.
Mattlage, Anna E., et al.. (2015). Decreased Tidal Volume May Limit Cardiopulmonary Performance During Exercise in Subacute Stroke. Journal of Cardiopulmonary Rehabilitation and Prevention. 35(5). 334–341. 6 indexed citations
10.
Mattlage, Anna E., et al.. (2015). Use of Accelerometers to Examine Sedentary Time on an Acute Stroke Unit. Journal of Neurologic Physical Therapy. 39(3). 166–171. 55 indexed citations
11.
Billinger, Sandra A., et al.. (2014). Cardiopulmonary Exercise Testing Is Well Tolerated in People With Alzheimer-Related Cognitive Impairment. Archives of Physical Medicine and Rehabilitation. 95(9). 1714–1718. 5 indexed citations
12.
Billinger, Sandra A., et al.. (2014). Does Aerobic Exercise and the FITT Principle Fit into Stroke Recovery?. Current Neurology and Neuroscience Reports. 15(2). 519–519. 99 indexed citations
13.
Herda, Ashley A., et al.. (2014). Cross-Validation of the Recumbent Stepper Submaximal Exercise Test to Predict Peak Oxygen Uptake in Older Adults. Physical Therapy. 94(5). 722–729. 18 indexed citations
14.
Vidoni, Eric D., et al.. (2013). Validity of the Step Test for Exercise Prescription: No Extension to a Larger Age Range. Journal of Aging and Physical Activity. 21(4). 444–454. 3 indexed citations
15.
Mattlage, Anna E., et al.. (2013). Submaximal and Peak Cardiorespiratory Response After Moderate-High Intensity Exercise Training in Subacute Stroke. Cardiopulmonary Physical Therapy Journal. 24(3). 14–20. 30 indexed citations
16.
Billinger, Sandra A., et al.. (2012). Aerobic Exercise in Subacute Stroke Improves Cardiovascular Health and Physical Performance. Journal of Neurologic Physical Therapy. 36(4). 159–165. 103 indexed citations
17.
Mattlage, Anna E., et al.. (2012). Measures of Cardiovascular Health and Physical Function after an Aerobic Exercise Intervention in a Patient Fifteen Days Post-Stroke.. PubMed. 5(2). 72–78. 1 indexed citations

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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