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: Glioblastoma and brain metastases 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Tamara T. Lah
Comparison fields: 5 of 129
  • Cancer Research 2.4k
  • Molecular Biology 2.4k
  • Oncology 1.5k
  • Genetics 851
  • Cell Biology 552
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Keiji Miyazawa Japan View profile →
Citations per field, relative to Tamara T. Lah
Tamara T. Lah · 1×
Citations per year, relative to Tamara T. Lah
Tamara T. Lah · 1×

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
# Work Indexed citations
1 63
2 54
3 18
4 9
5 25
6
Expression Analysis of All Protease Genes Reveals Cathepsin K to Be Overexpressed in Glioblastoma (vol 9, e111819, 2014)
4
7
Prognostic value of erythrocyte sedimentation rate and C-reactive protein in the blood of patients with glioma.
41
8
Prognostic impact of CD68 and kallikrein 6 in human glioma.
38
9
Cysteine cathepsins, stefins and extracellular matrix degradation during invasion of transformed human breast cell lines
1
10 80
11 11
12
Expression of cathepsin B is related to tumorigenicity of breast cancer cell lines
3
13
Cathepsin L in human meningiomas
2
14 131
15 57
16
In vitro genotoxicity of microcystin-RR on primary cultured rat hepatocites and Hep G2 cell line detected by Comet assay
5
17 32
18 44
19 21
20 27

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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