Marina Slepak

618 total citations
8 papers, 487 citations indexed

About

Marina Slepak is a scholar working on Immunology and Allergy, Immunology and Molecular Biology. According to data from OpenAlex, Marina Slepak has authored 8 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology and Allergy, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Marina Slepak's work include Cell Adhesion Molecules Research (6 papers), Immunotherapy and Immune Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Marina Slepak is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Immunotherapy and Immune Responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Marina Slepak collaborates with scholars based in United States, France and United Kingdom. Marina Slepak's co-authors include Mark H. Ginsberg, Chloé C. Féral, Naoyuki Nishiya, Csilla A. Fenczik, Heidi Stuhlmann, Shouchun Liu, Joseph M. Cantor, John T. Chang, Nil Ege and Margaret L. Gardel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Marina Slepak

8 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Slepak United States 8 248 172 110 110 106 8 487
Michihiko Miyaji Japan 12 380 1.5× 31 0.2× 147 1.3× 373 3.4× 27 0.3× 13 781
Aino Paasinen-Sohns Finland 10 323 1.3× 36 0.2× 63 0.6× 42 0.4× 105 1.0× 13 517
Talal Mousallem United States 9 190 0.8× 40 0.2× 129 1.2× 150 1.4× 13 0.1× 18 439
Clara Schreiner United States 7 255 1.0× 303 1.8× 133 1.2× 59 0.5× 13 0.1× 9 489
G. A. Luckenbach Germany 11 200 0.8× 148 0.9× 35 0.3× 157 1.4× 10 0.1× 16 434
Monira Hoque Australia 13 390 1.6× 51 0.3× 86 0.8× 72 0.7× 8 0.1× 18 566
C. Vennegoor Netherlands 10 314 1.3× 105 0.6× 100 0.9× 179 1.6× 8 0.1× 19 590
Johanna E. Welch Sweden 7 861 3.5× 55 0.3× 65 0.6× 120 1.1× 41 0.4× 8 969
Ken Fujimura United States 13 593 2.4× 18 0.1× 135 1.2× 51 0.5× 36 0.3× 20 697
Nancy H. Jones United States 7 162 0.7× 45 0.3× 22 0.2× 221 2.0× 22 0.2× 8 401

Countries citing papers authored by Marina Slepak

Since Specialization
Citations

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

Fields of papers citing papers by Marina Slepak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Slepak

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

All Works

8 of 8 papers shown
1.
Cantor, Joseph M., David M. Rose, Marina Slepak, & Mark H. Ginsberg. (2015). Fine-tuning Tumor Immunity with Integrin Trans-regulation. Cancer Immunology Research. 3(6). 661–667. 17 indexed citations
2.
Cantor, Joseph M., Marina Slepak, Nil Ege, John T. Chang, & Mark H. Ginsberg. (2011). Loss of T Cell CD98 H Chain Specifically Ablates T Cell Clonal Expansion and Protects from Autoimmunity. The Journal of Immunology. 187(2). 851–860. 59 indexed citations
3.
Féral, Chloé C., Jaap G. Neels, Christiane Kummer, et al.. (2008). Blockade of α4 Integrin Signaling Ameliorates the Metabolic Consequences of High-Fat Diet–Induced Obesity. Diabetes. 57(7). 1842–1851. 32 indexed citations
4.
Féral, Chloé C., Andries Zijlstra, Eugene Tkachenko, et al.. (2007). CD98hc (SLC3A2) participates in fibronectin matrix assembly by mediating integrin signaling. The Journal of Cell Biology. 178(4). 701–711. 61 indexed citations
5.
Féral, Chloé C., Naoyuki Nishiya, Csilla A. Fenczik, et al.. (2004). CD98hc (SLC3A2) mediates integrin signaling. Proceedings of the National Academy of Sciences. 102(2). 355–360. 205 indexed citations
6.
Liu, Shouchun, William B. Kiosses, David M. Rose, et al.. (2002). A Fragment of Paxillin Binds the α4Integrin Cytoplasmic Domain (Tail) and Selectively Inhibits α4-Mediated Cell Migration. Journal of Biological Chemistry. 277(23). 20887–20894. 47 indexed citations
7.
Liu, Shouchun, Marina Slepak, & Mark H. Ginsberg. (2001). Binding of Paxillin to the α9 Integrin Cytoplasmic Domain Inhibits Cell Spreading. Journal of Biological Chemistry. 276(40). 37086–37092. 38 indexed citations
8.
Ginsberg, Mark H., Brian L. Yaspan, Jane Forsyth, et al.. (2001). A Membrane-distal Segment of the Integrin αIIbCytoplasmic Domain Regulates Integrin Activation. Journal of Biological Chemistry. 276(25). 22514–22521. 28 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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