Mark Shabsovich

614 total citations
8 papers, 441 citations indexed

About

Mark Shabsovich is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Mark Shabsovich has authored 8 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Mark Shabsovich's work include Neurogenetic and Muscular Disorders Research (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Mark Shabsovich is often cited by papers focused on Neurogenetic and Muscular Disorders Research (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Mark Shabsovich collaborates with scholars based in United States and South Africa. Mark Shabsovich's co-authors include Brian K. Dieckgraefe, Matthew A. Ciorba, Baosheng Chen, David M. Alvarado, Kumar S. Bishnupuri, Kathleen M. Schoch, Timothy M. Miller, Yi Luo, Giulio Srubek Tomassy and Holly Kordasiewicz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Mark Shabsovich

8 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Shabsovich United States	5	196	126	103	92	76	8	441
Benedetta Parodi Italy	8	252 1.3×	77 0.6×	132 1.3×	115 1.3×	206 2.7×	10	577
Jana K. Sonner Germany	10	236 1.2×	40 0.3×	80 0.8×	204 2.2×	88 1.2×	19	551
Louis‐Charles Béland Canada	7	113 0.6×	130 1.0×	57 0.6×	115 1.3×	176 2.3×	9	355
Emanuela Paldino Italy	14	305 1.6×	92 0.7×	84 0.8×	45 0.5×	45 0.6×	23	542
Poulomi Banerjee India	10	144 0.7×	68 0.5×	68 0.7×	29 0.3×	73 1.0×	12	323
Bailey Baumann United States	12	184 0.9×	71 0.6×	34 0.3×	26 0.3×	60 0.8×	15	396
Lindsey D. Goodman United States	12	241 1.2×	117 0.9×	124 1.2×	24 0.3×	38 0.5×	24	451
Nirma D. Perera Australia	11	271 1.4×	332 2.6×	142 1.4×	41 0.4×	122 1.6×	17	618
Beatriz Valle‐Argos United Kingdom	11	151 0.8×	21 0.2×	82 0.8×	115 1.3×	127 1.7×	20	434
Marcin Teodorczyk Germany	5	168 0.9×	44 0.3×	40 0.4×	106 1.2×	167 2.2×	5	414

Countries citing papers authored by Mark Shabsovich

Since Specialization

Citations

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

Fields of papers citing papers by Mark Shabsovich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Shabsovich

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

All Works

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8 of 8 papers shown

Kreple, Collin J., Susan Searles Nielsen, Kathleen M. Schoch, et al.. (2023). Protective Effects of Lovastatin in a Population‐BasedALSStudy and Mouse Model. Annals of Neurology. 93(5). 881–892. 4 indexed citations

Schoch, Kathleen M., Lubov Ezerskiy, Andrew D. Sauerbeck, et al.. (2021). Acute Trem2 reduction triggers increased microglial phagocytosis, slowing amyloid deposition in mice. Proceedings of the National Academy of Sciences. 118(27). 63 indexed citations

Cammack, Alexander J., Jiayang Chen, Michael J. Vasek, et al.. (2020). A viral toolkit for recording transcription factor–DNA interactions in live mouse tissues. Proceedings of the National Academy of Sciences. 117(18). 10003–10014. 13 indexed citations

Bishnupuri, Kumar S., David M. Alvarado, Mark Shabsovich, et al.. (2019). IDO1 and Kynurenine Pathway Metabolites Activate PI3K-Akt Signaling in the Neoplastic Colon Epithelium to Promote Cancer Cell Proliferation and Inhibit Apoptosis. Cancer Research. 79(6). 1138–1150. 148 indexed citations

McCampbell, Alex, Tracy Cole, Amy J. Wegener, et al.. (2018). Antisense oligonucleotides extend survival and reverse decrement in muscle response in ALS models. Journal of Clinical Investigation. 128(8). 3558–3567. 182 indexed citations

Meyer, Claire E., et al.. (2017). Expression of the inhibitory receptor NKG2A correlates with increased liver and splenic NK cell response to activating receptor engagement. Immunity Inflammation and Disease. 5(2). 177–189. 3 indexed citations

Santhanam, Srikanth, Chai K. Lim, Mark Shabsovich, et al.. (2016). Su1195 Upregulated Pathways and Products of Tryptophan Metabolism is Associated with the Neoplastic Transition in the Colon Epithelium. Gastroenterology. 150(4). S492–S492. 1 indexed citations

Miner, Cathrine A., Tusar Giri, Claire E. Meyer, Mark Shabsovich, & Sandeep K. Tripathy. (2015). Acquisition of Activation Receptor Ligand by Trogocytosis Renders NK Cells Hyporesponsive. The Journal of Immunology. 194(4). 1945–1953. 27 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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