Tamara T. Lah

7.4k total citations · 1 hit paper
134 papers, 5.7k citations indexed

About

Tamara T. Lah is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Tamara T. Lah has authored 134 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cancer Research, 52 papers in Molecular Biology and 49 papers in Oncology. Recurrent topics in Tamara T. Lah's work include Protease and Inhibitor Mechanisms (63 papers), Peptidase Inhibition and Analysis (22 papers) and Cell Adhesion Molecules Research (20 papers). Tamara T. Lah is often cited by papers focused on Protease and Inhibitor Mechanisms (63 papers), Peptidase Inhibition and Analysis (22 papers) and Cell Adhesion Molecules Research (20 papers). Tamara T. Lah collaborates with scholars based in Slovenia, Germany and United States. Tamara T. Lah's co-authors include Janko Kos, Metka Filipič, Barbara Breznik, Tadej Strojnik, Bojana Žegura, Metka Novak, Irena Zajc, Helena Motaln, Vito Türk and Nataša Levičar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Tamara T. Lah

134 papers receiving 5.6k citations

Hit Papers

Brain malignancies: Gliob... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamara T. Lah 2.4k 2.4k 1.5k 851 552 134 5.7k
Keiji Miyazawa 1.7k 0.7× 7.6k 3.2× 2.7k 1.8× 713 0.8× 1.1k 2.0× 224 12.5k
Nelson Fausto 1.6k 0.7× 5.5k 2.3× 2.3k 1.5× 333 0.4× 1.0k 1.8× 154 14.1k
Chikako Nishigori 654 0.3× 2.3k 1.0× 1.0k 0.7× 204 0.2× 789 1.4× 291 6.1k
Akira Shinagawa 2.7k 1.1× 1.6k 0.7× 1.8k 1.2× 124 0.1× 201 0.4× 48 4.4k
Bjørn Tore Gjertsen 876 0.4× 4.8k 2.0× 2.0k 1.3× 884 1.0× 464 0.8× 291 9.2k
Jin‐Tang Dong 2.0k 0.8× 5.7k 2.4× 1.5k 1.0× 134 0.2× 660 1.2× 210 8.0k
Leah A. Marquez‐Curtis 953 0.4× 2.2k 0.9× 1.3k 0.9× 1.2k 1.4× 286 0.5× 89 5.8k
Tatsuhiko Furukawa 1.0k 0.4× 3.0k 1.2× 2.8k 1.9× 257 0.3× 281 0.5× 173 6.0k
Lukas Kenner 1.5k 0.6× 5.1k 2.2× 3.0k 2.0× 396 0.5× 748 1.4× 225 10.4k
Bernd Stein 2.2k 0.9× 5.1k 2.2× 2.0k 1.4× 127 0.1× 557 1.0× 63 9.0k

Countries citing papers authored by Tamara T. Lah

Since Specialization
Citations

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

Fields of papers citing papers by Tamara T. Lah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara T. Lah

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara T. Lah. A scholar is included among the top collaborators of Tamara T. Lah 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 T. Lah. Tamara T. Lah 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
1.
Majc, Bernarda, et al.. (2020). Epithelial-to-mesenchymal transition as the driver of changing carcinoma and glioblastoma microenvironment. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(10). 118782–118782. 63 indexed citations
2.
Novak, Metka, et al.. (2019). Cytokine CCL5 and receptor CCR5 axis in glioblastoma multiforme. Radiology and Oncology. 53(4). 397–406. 54 indexed citations
3.
Breznik, Barbara, Andrej Blejec, Róman Boŝnjak, et al.. (2018). Localization patterns of cathepsins K and X and their predictive value in glioblastoma. Radiology and Oncology. 52(4). 433–442. 18 indexed citations
4.
Šmuc, Tina, Michael Blank, Tomaž Accetto, et al.. (2018). In silico selection approach to develop DNA aptamers for a stem-like cell subpopulation of non-small lung cancer adenocarcinoma cell line A549. Radiology and Oncology. 52(2). 152–159. 9 indexed citations
5.
Strojnik, Tadej, Darja Duh, & Tamara T. Lah. (2017). Prevalence of Neurotropic Viruses in Malignant Glioma and Their Onco-Modulatory Potential. In Vivo. 31(2). 221–230. 25 indexed citations
6.
Hira, Vashendriya V.V., Urška Verbovšek, Barbara Breznik, et al.. (2016). Cathepsin K cleavage of SDF-1α inhibits its chemotactic activity towards glioblastoma stem-like cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(3). 594–603. 40 indexed citations
7.
Verbovšek, Urška, Helena Motaln, Ana Rotter, et al.. (2015). Expression Analysis of All Protease Genes Reveals Cathepsin K to Be Overexpressed in Glioblastoma (vol 9, e111819, 2014). PLoS ONE. 10(10). 4 indexed citations
8.
Strojnik, Tadej, et al.. (2014). Prognostic value of erythrocyte sedimentation rate and C-reactive protein in the blood of patients with glioma.. PubMed. 34(1). 339–47. 41 indexed citations
9.
Radlwimmer, Bernhard, Christel Herold‐Mende, Krishna M. Talasila, et al.. (2013). Expansive growth of two glioblastoma stem-like cell lines is mediated by bFGF and not by EGF. Radiology and Oncology. 47(4). 330–337. 27 indexed citations
10.
Gole, Boris, Peter C. Huszthy, Mara Popović, et al.. (2012). The regulation of cysteine cathepsins and cystatins in human gliomas. International Journal of Cancer. 131(8). 1779–1789. 45 indexed citations
11.
Strojnik, Tadej, Rajko Kavalar, Irena Zajc, et al.. (2009). Prognostic impact of CD68 and kallikrein 6 in human glioma.. PubMed. 29(8). 3269–79. 38 indexed citations
12.
Zajc, Irena, et al.. (2006). Cysteine cathepsins, stefins and extracellular matrix degradation during invasion of transformed human breast cell lines. Radiology and Oncology. 40(4). 1 indexed citations
13.
Vranič, Andrej, et al.. (2003). Cathepsin L in human meningiomas. Radiology and Oncology. 37(2). 2 indexed citations
14.
Zajc, Irena, et al.. (2003). Expression of cathepsin B is related to tumorigenicity of breast cancer cell lines. Radiology and Oncology. 37(4). 3 indexed citations
15.
Žegura, Bojana, Metka Filipič, Dušan Šuput, Tamara T. Lah, & Bojan Sedmak. (2002). In vitro genotoxicity of microcystin-RR on primary cultured rat hepatocites and Hep G2 cell line detected by Comet assay. Radiology and Oncology. 36(2). 5 indexed citations
16.
Strojnik, Tadej, Irena Zajc, Rastko Golouh, et al.. (2000). Cathepsin B and its inhibitor stefin A in brain tumors. Pflügers Archiv - European Journal of Physiology. 439(S1). r122–r123. 32 indexed citations
17.
Turk, Boris, et al.. (1994). Stefin B, the major low molecular weight inhibitor in ovarian carcinoma. Cancer Letters. 82(1). 81–88. 24 indexed citations
18.
Lah, Tamara T., et al.. (1992). Cystatins and stefins in ascites fluid from ovarian carcinoma. Cancer Letters. 61(3). 243–253. 22 indexed citations
19.
Boike, Guy M., Tamara T. Lah, Bonnie F. Sloane, et al.. (1992). A possible role for cysteine proteinase and its inhibitors in motility of malignant melanoma and other tumour cells. Melanoma Research. 1(5). 333–340. 27 indexed citations
20.
Lah, Tamara T., Borut Štrukelj, Jože Pungerčar, et al.. (1992). Stefins and lysosomal cathepsins B, L and D in human breast carcinoma. International Journal of Cancer. 50(1). 36–44. 119 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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