L.M. Shlapatska

618 citations
25 papers · 498 indexed · h-index 12
Topics
Immune Cell Function and Interaction (10 papers)Chronic Lymphocytic Leukemia Research (7 papers)Galectins and Cancer Biology (5 papers)

In The Last Decade

L.M. Shlapatska

21 papers receiving 491 citations

Peers

L.M. Shlapatska
Comparison fields: 5 of 52
  • Immunology 358
  • Oncology 146
  • Molecular Biology 131
  • Epidemiology 55
  • Genetics 52
Replace Heike Schmidlin with:
Heike Schmidlin Netherlands
Elisabeth Salzer Austria
Elisangela Santos-Valente Austria
K.‐P. Nera Finland
S. Goldberg United States
Jordi Sintes Spain
Jean‐Nicolas Schickel United States
С. В. Михалап Ukraine
Wanyun Zhong United States
C Jemma Italy
L.M. Shlapatska relative to Heike Schmidlin Netherlands Heike Schmidlin's profile →
Citations per field
00.5×2.7×
Heike Schmidlin · 1×
Citations per year

Countries citing papers authored by L.M. Shlapatska

Since Specialization
Citations

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

Fields of papers citing papers by L.M. Shlapatska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.M. Shlapatska. 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 L.M. Shlapatska. The network helps show where L.M. Shlapatska may publish in the future.

Co-authorship network of co-authors of L.M. Shlapatska

This figure shows the co-authorship network connecting the top 25 collaborators of L.M. Shlapatska. A scholar is included among the top collaborators of L.M. Shlapatska 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 L.M. Shlapatska. L.M. Shlapatska 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
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 1
6 8
7 6
8 17
9 18
10 7
11 16
12 13
13
The multilevel regulation of CD95 signaling outcome.
15
14
Differential expression of PKD1 and PKD2 in gastric cancer and analysis of PKD1 and PKD2 function in the model system.
20
15 19
16
The role of CD150-SH2D1A association in CD150 signaling in Hodgkin's lymphoma cell lines.
12
17 38
18
Signal transduction pathways in Burkitt's lymphoma cell lines BL41 and DG75 with different sensitivity to doxorubicin.
4
19 182
20 87

About L.M. Shlapatska

L.M. Shlapatska is a scholar working on Immunology, Immunology and Allergy and Genetics, having authored 25 papers that have together received 498 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Galectins and Cancer Biology (5 papers). The work is most often cited by research in Immunology (358 citations), Oncology (146 citations) and Genetics (52 citations). L.M. Shlapatska has collaborated with scholars based in Ukraine, United States and Russia. Frequent co-authors include Sidorenko Sp, Edward A. Clark, С. В. Михалап, Kim E. Nichols, Theodore J. Yun, Maria Yurchenko, Che‐Leung Law, Olga V. Yurchenko, Elena Kashuba and Johan Van Lint. Their work appears in journals such as Blood, The Journal of Immunology and PLoS ONE.

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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