Sashka Krumova

1.2k total citations
68 papers, 961 citations indexed

About

Sashka Krumova is a scholar working on Molecular Biology, Physical and Theoretical Chemistry and Plant Science. According to data from OpenAlex, Sashka Krumova has authored 68 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 20 papers in Physical and Theoretical Chemistry and 15 papers in Plant Science. Recurrent topics in Sashka Krumova's work include Photosynthetic Processes and Mechanisms (27 papers), thermodynamics and calorimetric analyses (20 papers) and Spectroscopy and Quantum Chemical Studies (12 papers). Sashka Krumova is often cited by papers focused on Photosynthetic Processes and Mechanisms (27 papers), thermodynamics and calorimetric analyses (20 papers) and Spectroscopy and Quantum Chemical Studies (12 papers). Sashka Krumova collaborates with scholars based in Bulgaria, Hungary and Spain. Sashka Krumova's co-authors include Stefka G. Taneva, Svetla Todinova, László Kovács, Győző Garab, Herbert van Amerongen, Zsuzsanna Várkonyi, Anelia G. Dobrikova, Mira Busheva, Győző Garab and Sergey P. Laptenok and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Biochemistry.

In The Last Decade

Sashka Krumova

64 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sashka Krumova Bulgaria 19 635 267 257 157 133 68 961
Svetla Todinova Bulgaria 16 427 0.7× 265 1.0× 107 0.4× 56 0.4× 57 0.4× 79 805
Sunil Nath India 24 1.1k 1.7× 78 0.3× 42 0.2× 73 0.5× 39 0.3× 77 1.5k
Wolfgang Gregor Austria 20 650 1.0× 23 0.1× 319 1.2× 101 0.6× 100 0.8× 37 1.1k
F. Luis González Flecha Argentina 18 623 1.0× 50 0.2× 46 0.2× 64 0.4× 43 0.3× 50 966
Jan F. L. van Breemen Netherlands 18 885 1.4× 28 0.1× 209 0.8× 146 0.9× 273 2.1× 33 1.1k
Sharron L. Nance United States 16 570 0.9× 84 0.3× 59 0.2× 93 0.6× 74 0.6× 29 846
Laura Baciou France 21 786 1.2× 121 0.5× 90 0.4× 318 2.0× 234 1.8× 62 1.1k
Francesco Malatesta Italy 24 1.6k 2.5× 31 0.1× 82 0.3× 200 1.3× 521 3.9× 85 1.9k
J. R. N. McLean Canada 18 527 0.8× 75 0.3× 83 0.3× 36 0.2× 61 0.5× 27 1.2k
Klaus Dose Germany 21 773 1.2× 58 0.2× 181 0.7× 24 0.2× 188 1.4× 93 1.3k

Countries citing papers authored by Sashka Krumova

Since Specialization
Citations

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

Fields of papers citing papers by Sashka Krumova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sashka Krumova

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

All Works

20 of 20 papers shown
2.
Николова, Елена, et al.. (2025). Quantitative Assessment of Red Blood Cell Disaggregation in Chronic Lymphocytic Leukemia via Software Image Flow Analysis. Fluids. 10(7). 167–167. 1 indexed citations
3.
Taneva, Stefka G., et al.. (2025). Nanomechanical and Thermodynamic Alterations of Red Blood Cells in Chronic Lymphocytic Leukemia: Implications for Disease and Treatment Monitoring. International Journal of Molecular Sciences. 27(1). 353–353.
4.
Todinova, Svetla, et al.. (2023). Nepeta nuda L. Plant Extract Preserves the Morphology of Red Blood Cells Subjected to Oxidative Stress. SHILAP Revista de lepidopterología. 35–35.
6.
Todinova, Svetla, et al.. (2023). Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies. International Journal of Molecular Sciences. 24(1). 789–789. 2 indexed citations
7.
Strijkova, Velichka, et al.. (2023). Membrane Lesions and Reduced Life Span of Red Blood Cells in Preeclampsia as Evidenced by Atomic Force Microscopy. International Journal of Molecular Sciences. 24(8). 7100–7100. 4 indexed citations
8.
Komsa‐Penkova, Regina, et al.. (2023). Blood Plasma Calorimetric Profiles of Women with Preeclampsia: Effect of Oxidative Stress. Antioxidants. 12(5). 1032–1032. 4 indexed citations
9.
Krumova, Sashka, Svetla Todinova, & Stefka G. Taneva. (2022). Calorimetric Markers for Detection and Monitoring of Multiple Myeloma. Cancers. 14(16). 3884–3884. 5 indexed citations
10.
Strijkova, Velichka, Regina Komsa‐Penkova, Sashka Krumova, et al.. (2022). Morphometric and Nanomechanical Features of Erythrocytes Characteristic of Early Pregnancy Loss. International Journal of Molecular Sciences. 23(9). 4512–4512. 8 indexed citations
11.
Dinarelli, Simone, et al.. (2022). Surprising Structural and Functional Properties of Favism Erythrocytes Are Linked to Special Metabolic Regulation: A Cell Aging Study. International Journal of Molecular Sciences. 24(1). 637–637. 8 indexed citations
12.
Komsa‐Penkova, Regina, et al.. (2022). Altered Thermal Behavior of Blood Plasma Proteome Related to Inflammatory Cytokines in Early Pregnancy Loss. International Journal of Molecular Sciences. 23(15). 8764–8764. 3 indexed citations
14.
Strijkova, Velichka, Svetla Todinova, Tonya Andreeva, et al.. (2021). Morphometry and Stiffness of Red Blood Cells—Signatures of Neurodegenerative Diseases and Aging. International Journal of Molecular Sciences. 23(1). 227–227. 23 indexed citations
15.
Todinova, Svetla, et al.. (2021). Red Blood Cells’ Thermodynamic Behavior in Neurodegenerative Pathologies and Aging. Biomolecules. 11(10). 1500–1500. 8 indexed citations
16.
Velikova, Violeta, László Kovács, Tsonko Tsonev, et al.. (2021). Single-Walled Carbon Nanotubes Modify Leaf Micromorphology, Chloroplast Ultrastructure and Photosynthetic Activity of Pea Plants. International Journal of Molecular Sciences. 22(9). 4878–4878. 21 indexed citations
17.
Todinova, Svetla, et al.. (2021). Thermodynamic behavior of breast cancer cell lines after miltefosine and cisplatin treatment. Journal of Thermal Analysis and Calorimetry. 147(14). 7819–7828. 3 indexed citations
18.
Krumova, Sashka, et al.. (2020). Aging-related changes in the calorimetric profile of red blood cells from women with miscarriages. Journal of Thermal Analysis and Calorimetry. 142(5). 1919–1926. 1 indexed citations
19.
Todinova, Svetla, Sashka Krumova, Pencho Marinov, et al.. (2016). Blood Plasma Thermograms Dataset Analysisby Means of InterCriteria and Correlation Analyses for the Case of Colorectal Cancer. SHILAP Revista de lepidopterología.
20.
Krumova, Sashka, Miroslava Zhiponova, Georgi D. Rashkov, et al.. (2011). Effects of enhanced brassinosteroid perception on photosynthesis in Arabidopsis thaliana line BRIOE. Ghent University Academic Bibliography (Ghent University). 64(7). 967–972. 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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