Karni Schlessinger

2.8k total citations · 1 hit paper
15 papers, 2.3k citations indexed

About

Karni Schlessinger is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Karni Schlessinger has authored 15 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Karni Schlessinger's work include Cytokine Signaling Pathways and Interactions (6 papers), Protein Tyrosine Phosphatases (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Karni Schlessinger is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), Protein Tyrosine Phosphatases (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Karni Schlessinger collaborates with scholars based in United States, United Kingdom and Israel. Karni Schlessinger's co-authors include David T. Levy, Alan Hall, Nicholas S. Tolwinski, Daniel J. Gough, Andrew C. Larner, Alicia Corlett, Joanna Węgrzyn, Edward J. McManus, Moitreyee Chatterjee‐Kishore and Jinbo Yang and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Karni Schlessinger

15 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mitochondrial STAT3 Supports Ras-Dependent Oncogenic Transformation

2009 580 citations Daniel J. Gough, Alicia Corlett et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karni Schlessinger United States	13	1.3k	917	526	497	293	15	2.3k
Christine Jean France	24	1.5k 1.2×	793 0.9×	460 0.9×	550 1.1×	446 1.5×	52	2.9k
Marie‐Luise Kruse Germany	26	1.3k 1.1×	741 0.8×	461 0.9×	268 0.5×	403 1.4×	47	2.4k
Chizu Tanikawa Japan	28	1.9k 1.5×	1.2k 1.3×	377 0.7×	289 0.6×	581 2.0×	57	3.1k
Enzo Calautti United States	23	1.5k 1.2×	615 0.7×	310 0.6×	684 1.4×	231 0.8×	38	2.3k
Atsushi Takano Japan	25	1.5k 1.2×	760 0.8×	392 0.7×	200 0.4×	332 1.1×	63	2.5k
Pierre H. Vachon Canada	31	1.7k 1.3×	676 0.7×	307 0.6×	563 1.1×	318 1.1×	46	2.8k
Charles E. de Bock Australia	26	1.1k 0.9×	432 0.5×	286 0.5×	284 0.6×	433 1.5×	69	2.0k
Daniel J. Murphy United Kingdom	22	2.2k 1.7×	843 0.9×	317 0.6×	239 0.5×	645 2.2×	43	3.0k
Dexing Fang United States	18	1.6k 1.3×	685 0.7×	411 0.8×	237 0.5×	286 1.0×	34	2.3k

Countries citing papers authored by Karni Schlessinger

Since Specialization

Citations

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

Fields of papers citing papers by Karni Schlessinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karni Schlessinger

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

All Works

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15 of 15 papers shown

Shang, Jin, Stephen F. Previs, Stacey Conarello, et al.. (2017). Phenotyping of adipose, liver, and skeletal muscle insulin resistance and response to pioglitazone in spontaneously obese rhesus monkeys. American Journal of Physiology-Endocrinology and Metabolism. 312(4). E235–E243. 5 indexed citations

Schlessinger, Karni, Wenyu Li, Yejun Tan, et al.. (2015). Gene expression in WAT from healthy humans and monkeys correlates with FGF21‐induced browning of WAT in mice. Obesity. 23(9). 1818–1829. 12 indexed citations

Xiong, Huizhong, Antonio Maraver, Jo‐Ann Latkowski, et al.. (2013). Characterization of Two Distinct Lymphoproliferative Diseases Caused by Ectopic Expression of the Notch Ligand DLL4 on T Cells. PLoS ONE. 8(12). e84841–e84841. 7 indexed citations

Gough, Daniel J., Alicia Corlett, Karni Schlessinger, et al.. (2009). Mitochondrial STAT3 Supports Ras-Dependent Oncogenic Transformation. Science. 324(5935). 1713–1716. 580 indexed citations breakdown →

Schlessinger, Karni, Alan Hall, & Nicholas S. Tolwinski. (2009). Wnt signaling pathways meet Rho GTPases. Genes & Development. 23(3). 265–277. 302 indexed citations

Collin, Ludovic, Karni Schlessinger, & Alan Hall. (2008). APC nuclear membrane association and microtubule polarity. Biology of the Cell. 100(4). 243–252. 33 indexed citations

Schlessinger, Karni, Edward J. McManus, & Alan Hall. (2007). Cdc42 and noncanonical Wnt signal transduction pathways cooperate to promote cell polarity. The Journal of Cell Biology. 178(3). 355–361. 160 indexed citations

Zhang, Ling, Donna Badgwell, Jack Bevers, et al.. (2006). IL-6 signaling via the STAT3/SOCS3 pathway: Functional Analysis of the Conserved STAT3 N-domain. Molecular and Cellular Biochemistry. 288(1-2). 179–189. 72 indexed citations

Schlessinger, Karni & David T. Levy. (2005). Malignant Transformation but not Normal Cell Growth Depends on Signal Transducer and Activator of Transcription 3. Cancer Research. 65(13). 5828–5834. 97 indexed citations

10.

Inghirami, Giorgio, et al.. (2005). New and Old Functions of STAT3: A Pivitol Target for Individualized Treatment of Cancer. Cell Cycle. 4(9). 1131–1133. 103 indexed citations

11.

Yang, Jinbo, Moitreyee Chatterjee‐Kishore, Susan M. Staugaitis, et al.. (2005). Novel Roles of Unphosphorylated STAT3 in Oncogenesis and Transcriptional Regulation. Cancer Research. 65(3). 939–947. 346 indexed citations

12.

Shen, Yuhong, Karni Schlessinger, Xuejun Zhu, et al.. (2003). Essential Role of STAT3 in Postnatal Survival and Growth Revealed by Mice Lacking STAT3 Serine 727 Phosphorylation. Molecular and Cellular Biology. 24(1). 407–419. 168 indexed citations

13.

Bertolotti, Anne, Xiao-Zhong Wang, Isabel Novoa, et al.. (2001). Increased sensitivity to dextran sodium sulfate colitis in IRE1β-deficient mice. Journal of Clinical Investigation. 107(5). 585–593. 345 indexed citations

14.

Hampe, Christiane S., et al.. (2000). An immunoreceptor tyrosine‐based inhibitory motif, with serine at site Y‐2, binds SH2‐domain‐containing phosphatases. European Journal of Biochemistry. 267(3). 703–711. 16 indexed citations

15.

Schlessinger, Karni, et al.. (1999). Interactions of the AP-1 Golgi Adaptor with the Polymeric Immunoglobulin Receptor and Their Possible Role in Mediating Brefeldin A-sensitive Basolateral Targeting from the trans-Golgi Network. Journal of Biological Chemistry. 274(4). 2201–2215. 41 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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