Tamara Kanashova

2.3k total citations
10 papers, 511 citations indexed

About

Tamara Kanashova is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Tamara Kanashova has authored 10 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Spectroscopy. Recurrent topics in Tamara Kanashova's work include Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Air Quality and Health Impacts (1 paper). Tamara Kanashova is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Air Quality and Health Impacts (1 paper). Tamara Kanashova collaborates with scholars based in Germany, Luxembourg and United States. Tamara Kanashova's co-authors include Philipp Mertins, M. Harry Kane, Shayan C. Avanessian, Shankha Satpathy, Bernhard Küster, Steven A. Carr, Karl R. Clauser, Gunnar Dittmar, Jana Zecha and Jenny Ghelfi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular & Cellular Proteomics.

In The Last Decade

Tamara Kanashova

10 papers receiving 510 citations

Peers

Tamara Kanashova

MB

SPECT

ONCOL

CR

IMMUN

Bettina Mayer Germany

Ziyou Cui United States

Tomoyo Takami Japan

Guadalupe Espadas Spain

Julia Poland Germany

Hyoung–Joo Lee South Korea

Annie Ha Canada

Dmitry S. Karpov Russia

Yair Pozniak Israel

Yimin Liang China

Bettina Mayer Germany

Tamara Kanashova

285 ×0.9

MB

61 ×0.5

SPECT

97 ×1.5

ONCOL

62 ×1.1

CR

67 ×1.3

IMMUN

Citations per year, relative to Tamara Kanashova Tamara Kanashova (= 1×) peers Bettina Mayer

Countries citing papers authored by Tamara Kanashova

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Kanashova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Kanashova

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

All Works

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10 of 10 papers shown

1.

Keibler, Mark A., Wentao Dong, Jenny Ghelfi, et al.. (2023). Stable Isotope-Assisted Untargeted Metabolomics Identifies ALDH1A1-Driven Erythronate Accumulation in Lung Cancer Cells. Biomedicines. 11(10). 2842–2842. 1 indexed citations

2.

Fichtner, Iduna, Annika Wulf-Goldenberg, Christine Sers, et al.. (2020). Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine. Neoplasia. 23(1). 21–35. 43 indexed citations

3.

Pandey, Surya, et al.. (2020). Pairwise Stimulations of Pathogen-Sensing Pathways Predict Immune Responses to Multi-adjuvant Combinations. Cell Systems. 11(5). 495–508.e10. 20 indexed citations

4.

Zecha, Jana, Shankha Satpathy, Tamara Kanashova, et al.. (2019). TMT Labeling for the Masses: A Robust and Cost-efficient, In-solution Labeling Approach. Molecular & Cellular Proteomics. 18(7). 1468–1478. 250 indexed citations

5.

Pedersen, Jesper Torbøl, Tamara Kanashova, Gunnar Dittmar, & Michael Palmgren. (2018). Isolation of native plasma membrane H⁺‐ATPase (Pma1p) in both the active and basal activation states. FEBS Open Bio. 8(5). 774–783. 11 indexed citations

6.

Marek, Magdalena, et al.. (2017). Purification and characterisation of the yeast plasma membrane ATP binding cassette transporter Pdr11p. PLoS ONE. 12(9). e0184236–e0184236. 10 indexed citations

7.

Kanashova, Tamara, et al.. (2015). Protein Kinase Ymr291w/Tda1 Is Essential for Glucose Signaling in Saccharomyces cerevisiae on the Level of Hexokinase Isoenzyme ScHxk2 Phosphorylation*. Journal of Biological Chemistry. 290(10). 6243–6255. 13 indexed citations

8.

Scheibe, Renate, Clemens Köhncke, Bettina Purfürst, et al.. (2015). Muscle RING-finger 2 and 3 maintain striated-muscle structure and function. Journal of Cachexia Sarcopenia and Muscle. 7(2). 165–180. 35 indexed citations

9.

Kanashova, Tamara, Oliver Popp, Jürgen Orasche, et al.. (2015). Differential proteomic analysis of mouse macrophages exposed to adsorbate-loaded heavy fuel oil derived combustion particles using an automated sample-preparation workflow. Analytical and Bioanalytical Chemistry. 407(20). 5965–5976. 17 indexed citations

10.

Sapcariu, Sean C., Tamara Kanashova, Daniel Weindl, et al.. (2014). Simultaneous extraction of proteins and metabolites from cells in culture. MethodsX. 1. 74–80. 111 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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