Maria T. Vassileva

4.8k total citations · 2 hit papers
16 papers, 3.6k citations indexed

About

Maria T. Vassileva is a scholar working on Physiology, Geriatrics and Gerontology and Surgery. According to data from OpenAlex, Maria T. Vassileva has authored 16 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Geriatrics and Gerontology and 4 papers in Surgery. Recurrent topics in Maria T. Vassileva's work include Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (6 papers) and Frailty in Older Adults (5 papers). Maria T. Vassileva is often cited by papers focused on Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (6 papers) and Frailty in Older Adults (5 papers). Maria T. Vassileva collaborates with scholars based in United States, United Kingdom and Japan. Maria T. Vassileva's co-authors include Stephanie A. Studenski, Michelle Shardell, Maren S. Fragala, Jack M. Guralnik, Stephen B. Kritchevsky, Peggy M. Cawthon, Rose Anne Kenny, Douglas P. Kiel, Robert R. McLean and Dawn E. Alley and has published in prestigious journals such as Diabetes Care, Journal of Clinical Microbiology and Journal of the American Geriatrics Society.

In The Last Decade

Maria T. Vassileva

16 papers receiving 3.5k citations

Hit Papers

The FNIH Sarcopenia Project: Rationale, Study Description... 2014 2026 2018 2022 2014 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria T. Vassileva United States 14 3.0k 1.2k 408 368 357 16 3.6k
W.M.C. Chumlea United States 10 1.6k 0.5× 626 0.5× 316 0.8× 216 0.6× 300 0.8× 15 2.2k
Fran Tylavsky United States 21 1.6k 0.5× 350 0.3× 247 0.6× 232 0.6× 416 1.2× 35 2.6k
Vincenzo Malafarina Spain 16 1.2k 0.4× 598 0.5× 150 0.4× 544 1.5× 225 0.6× 28 2.0k
Maryam Pourhassan Germany 23 1.3k 0.4× 268 0.2× 140 0.3× 248 0.7× 301 0.8× 67 1.9k
Akbar Soltani Iran 22 903 0.3× 240 0.2× 158 0.4× 439 1.2× 313 0.9× 114 2.4k
María D. Ballesteros‐Pomar Spain 25 1.2k 0.4× 269 0.2× 117 0.3× 515 1.4× 192 0.5× 183 2.0k
Margaret‐Mary G. Wilson United States 12 1.3k 0.4× 377 0.3× 232 0.6× 159 0.4× 302 0.8× 20 1.9k
Reina Armamento‐Villareal United States 31 1.6k 0.5× 200 0.2× 106 0.3× 400 1.1× 414 1.2× 82 3.7k
Gladys Barrera Chile 21 784 0.3× 181 0.2× 143 0.4× 217 0.6× 146 0.4× 62 1.5k
Takashi Higashiguchi Japan 23 1.9k 0.6× 461 0.4× 136 0.3× 1.4k 3.9× 147 0.4× 92 3.3k

Countries citing papers authored by Maria T. Vassileva

Since Specialization
Citations

This map shows the geographic impact of Maria T. Vassileva'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 Maria T. Vassileva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria T. Vassileva more than expected).

Fields of papers citing papers by Maria T. Vassileva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria T. Vassileva. 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 Maria T. Vassileva. The network helps show where Maria T. Vassileva may publish in the future.

Co-authorship network of co-authors of Maria T. Vassileva

This figure shows the co-authorship network connecting the top 25 collaborators of Maria T. Vassileva. A scholar is included among the top collaborators of Maria T. Vassileva 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 Maria T. Vassileva. Maria T. Vassileva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Fragala, Maren S., Dawn E. Alley, Michelle Shardell, et al.. (2016). Comparison of Handgrip and Leg Extension Strength in Predicting Slow Gait Speed in Older Adults. Journal of the American Geriatrics Society. 64(1). 144–150. 106 indexed citations
3.
Studenski, Stephanie A., Katherine W. Peters, Dawn E. Alley, et al.. (2014). The FNIH Sarcopenia Project: Rationale, Study Description, Conference Recommendations, and Final Estimates. The Journals of Gerontology Series A. 69(5). 547–558. 1801 indexed citations breakdown →
4.
Fragala, Maren S., Thuy-Tien L. Dam, James O. Judge, et al.. (2014). Strength and Function Response to Clinical Interventions of Older Women Categorized by Weakness and Low Lean Mass Using Classifications From the Foundation for the National Institute of Health Sarcopenia Project. The Journals of Gerontology Series A. 70(2). 202–209. 42 indexed citations
5.
McLean, Robert R., Michelle Shardell, Dawn E. Alley, et al.. (2014). Criteria for Clinically Relevant Weakness and Low Lean Mass and Their Longitudinal Association With Incident Mobility Impairment and Mortality: The Foundation for the National Institutes of Health (FNIH) Sarcopenia Project. The Journals of Gerontology Series A. 69(5). 576–583. 352 indexed citations
6.
Cawthon, Peggy M., Katherine W. Peters, Michelle Shardell, et al.. (2014). Cutpoints for Low Appendicular Lean Mass That Identify Older Adults With Clinically Significant Weakness. The Journals of Gerontology Series A. 69(5). 567–575. 295 indexed citations
7.
Alley, Dawn E., Michelle Shardell, Katherine W. Peters, et al.. (2014). Grip Strength Cutpoints for the Identification of Clinically Relevant Weakness. The Journals of Gerontology Series A. 69(5). 559–566. 410 indexed citations breakdown →
8.
Robertson, R. Paul, Ralph Raymond, Douglas S. Lee, et al.. (2014). Arginine is preferred to glucagon for stimulation testing of β-cell function. American Journal of Physiology-Endocrinology and Metabolism. 307(8). E720–E727. 34 indexed citations
9.
Dam, T.-T. L., Katherine W. Peters, Maren S. Fragala, et al.. (2014). An Evidence-Based Comparison of Operational Criteria for the Presence of Sarcopenia. The Journals of Gerontology Series A. 69(5). 584–590. 285 indexed citations
10.
Sun, Jie, Xue-Qiao Zhao, Niranjan Balu, et al.. (2014). Carotid magnetic resonance imaging for monitoring atherosclerotic plaque progression: a multicenter reproducibility study. International journal of cardiac imaging. 31(1). 95–103. 47 indexed citations
11.
Hentges, Eric, et al.. (2013). Public-Private Partnerships: The Evolving Role of Industry Funding in Nutrition Research. Advances in Nutrition. 4(5). 570–572. 4 indexed citations
12.
Fryburg, David A. & Maria T. Vassileva. (2011). Atherosclerosis Drug Development in Jeopardy: The Need for Predictive Biomarkers of Treatment Response. Science Translational Medicine. 3(72). 72cm6–72cm6. 11 indexed citations
13.
Wagner, John A., Melvin Prince, Elizabeth C. Wright, et al.. (2010). The Biomarkers Consortium: Practice and Pitfalls of Open-Source Precompetitive Collaboration. Clinical Pharmacology & Therapeutics. 87(5). 539–542. 32 indexed citations
14.
Wagner, John A., Elizabeth C. Wright, Marguerite Ennis, et al.. (2009). Utility of Adiponectin as a Biomarker Predictive of Glycemic Efficacy Is Demonstrated by Collaborative Pooling of Data From Clinical Trials Conducted by Multiple Sponsors. Clinical Pharmacology & Therapeutics. 86(6). 619–625. 22 indexed citations
15.
Vassileva, Maria T., Keizo Torii, Akira Okamoto, et al.. (2007). A New Phylogenetic Cluster of Cereulide-Producing Bacillus cereus Strains. Journal of Clinical Microbiology. 45(4). 1274–1277. 39 indexed citations
16.
Vassileva, Maria T., Keizo Torii, Akira Okamoto, et al.. (2006). Phylogenetic Analysis of Bacillus cereus Isolates from Severe Systemic Infections Using Multilocus Sequence Typing Scheme. Microbiology and Immunology. 50(9). 743–749. 31 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026