Zoia C. Lateva

715 total citations
19 papers, 550 citations indexed

About

Zoia C. Lateva is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Zoia C. Lateva has authored 19 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 14 papers in Cellular and Molecular Neuroscience and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Zoia C. Lateva's work include Muscle activation and electromyography studies (17 papers), Neuroscience and Neural Engineering (13 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Zoia C. Lateva is often cited by papers focused on Muscle activation and electromyography studies (17 papers), Neuroscience and Neural Engineering (13 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Zoia C. Lateva collaborates with scholars based in United States, Iran and Netherlands. Zoia C. Lateva's co-authors include Kevin C. McGill, Hamid Reza Marateb, M. Elise Johanson, Charles G. Burgar, Aleš Holobar, Marjan Mansourian, Roberto Merletti, Shaojun Xiao, G.V. Dimitrov and N.A. Dimitrova and has published in prestigious journals such as The Journal of Physiology, Journal of Applied Physiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Zoia C. Lateva

18 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zoia C. Lateva United States 12 473 296 238 43 41 19 550
Dan Stashuk Canada 7 372 0.8× 209 0.7× 103 0.4× 56 1.3× 30 0.7× 7 514
Rositsa Raikova Bulgaria 15 546 1.2× 309 1.0× 122 0.5× 17 0.4× 26 0.6× 49 675
Anna Margherita Castronovo Italy 10 633 1.3× 478 1.6× 208 0.9× 19 0.4× 41 1.0× 12 743
Allan Mannard Canada 9 513 1.1× 339 1.1× 403 1.7× 48 1.1× 55 1.3× 9 733
Babak Afsharipour United States 11 247 0.5× 137 0.5× 98 0.4× 35 0.8× 25 0.6× 25 344
M. Haugland Denmark 13 537 1.1× 418 1.4× 446 1.9× 37 0.9× 61 1.5× 27 762
Maoqi Chen China 11 461 1.0× 342 1.2× 182 0.8× 31 0.7× 7 0.2× 36 522
Xizi Song China 13 209 0.4× 175 0.6× 205 0.9× 26 0.6× 68 1.7× 57 580
M.A. Minetto Italy 6 268 0.6× 184 0.6× 104 0.4× 26 0.6× 22 0.5× 6 388

Countries citing papers authored by Zoia C. Lateva

Since Specialization
Citations

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

Fields of papers citing papers by Zoia C. Lateva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zoia C. Lateva. 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 Zoia C. Lateva. The network helps show where Zoia C. Lateva may publish in the future.

Co-authorship network of co-authors of Zoia C. Lateva

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

All Works

19 of 19 papers shown
1.
Lateva, Zoia C., et al.. (2019). Quantitative electrodiagnostic patterns of damage and recovery after spinal cord injury: a pilot study. Spinal Cord Series and Cases. 5(1). 101–101. 2 indexed citations
2.
Creasey, Graham H., et al.. (2015). Traumatic brain injury in U.S. Veterans with traumatic spinal cord injury. The Journal of Rehabilitation Research and Development. 52(6). 669–676. 5 indexed citations
3.
Drost, Gea, Bas C. Stunnenberg, J. Trip, et al.. (2014). Myotonic discharges discriminate chloride from sodium muscle channelopathies. Neuromuscular Disorders. 25(1). 73–80. 9 indexed citations
4.
Johanson, M. Elise, et al.. (2013). Triceps Brachii in Incomplete Tetraplegia: EMG and Dynamometer Evaluation of Residual Motor Resources and Capacity for Strengthening. Topics in Spinal Cord Injury Rehabilitation. 19(4). 300–310. 11 indexed citations
5.
Marateb, Hamid Reza, Kevin C. McGill, Aleš Holobar, et al.. (2011). Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle. Journal of Neural Engineering. 8(6). 66002–66002. 57 indexed citations
6.
McGill, Kevin C. & Zoia C. Lateva. (2011). History dependence of human muscle-fiber conduction velocity during voluntary isometric contractions. Journal of Applied Physiology. 111(3). 630–641. 13 indexed citations
7.
Lateva, Zoia C., Kevin C. McGill, & M. Elise Johanson. (2010). The innervation and organization of motor units in a series-fibered human muscle: the brachioradialis. Journal of Applied Physiology. 108(6). 1530–1541. 20 indexed citations
8.
Lateva, Zoia C. & Kevin C. McGill. (2007). Electrophysiological evidence of doubly innervated branched muscle fibers in the human brachioradialis muscle. Clinical Neurophysiology. 118(12). 2612–2619. 4 indexed citations
9.
McGill, Kevin C., Zoia C. Lateva, & Hamid Reza Marateb. (2005). EMGLAB: An interactive EMG decomposition program. Journal of Neuroscience Methods. 149(2). 121–133. 234 indexed citations
10.
Lateva, Zoia C., Kevin C. McGill, & M. Elise Johanson. (2003). Increased jitter and blocking in normal muscles due to doubly innervated muscle fibers. Muscle & Nerve. 28(4). 423–431. 9 indexed citations
11.
Lateva, Zoia C., Kevin C. McGill, & M. Elise Johanson. (2002). Electrophysiological evidence of adult human skeletal muscle fibres with multiple endplates and polyneuronal innervation. The Journal of Physiology. 544(2). 549–565. 27 indexed citations
12.
13.
Lateva, Zoia C. & Kevin C. McGill. (2001). Estimating motor-unit architectural properties by analyzing motor-unit action potential morphology. Clinical Neurophysiology. 112(1). 127–135. 27 indexed citations
14.
McGill, Kevin C. & Zoia C. Lateva. (2001). A model of the muscle-fiber intracellular action potential waveform, including the slow repolarization phase. IEEE Transactions on Biomedical Engineering. 48(12). 1480–1483. 13 indexed citations
15.
McGill, Kevin C., Zoia C. Lateva, & Shaojun Xiao. (2001). A model of the muscle action potential for describing the leading edge, terminal wave, and slow afterwave. IEEE Transactions on Biomedical Engineering. 48(12). 1357–1365. 22 indexed citations
16.
Lateva, Zoia C. & Kevin C. McGill. (1998). The physiological origin of the slow afterwave in muscle action potentials. Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control. 109(5). 462–469. 24 indexed citations
17.
Lateva, Zoia C., Kevin C. McGill, & Charles G. Burgar. (1996). Anatomical and electrophysiological determinants of the human thenar compound muscle action potential. Muscle & Nerve. 19(11). 1457–1468. 1 indexed citations
18.
Lateva, Zoia C., Kevin C. McGill, & Charles G. Burgar. (1996). Anatomical and electrophysiological determinants of the human thenar compound muscle action potential. Muscle & Nerve. 19(11). 1457–1468. 60 indexed citations
19.
Dimitrov, G.V., Zoia C. Lateva, & N.A. Dimitrova. (1994). Model of the slow components of skeletal muscle potentials. Medical & Biological Engineering & Computing. 32(4). 432–436. 12 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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