Pál Kaposi-Novák

2.1k total citations · 1 hit paper
15 papers, 1.6k citations indexed

About

Pál Kaposi-Novák is a scholar working on Hepatology, Molecular Biology and Oncology. According to data from OpenAlex, Pál Kaposi-Novák has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hepatology, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Pál Kaposi-Novák's work include Liver physiology and pathology (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Molecular Biology Techniques and Applications (3 papers). Pál Kaposi-Novák is often cited by papers focused on Liver physiology and pathology (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Molecular Biology Techniques and Applications (3 papers). Pál Kaposi-Novák collaborates with scholars based in United States, Hungary and Belgium. Pál Kaposi-Novák's co-authors include Snorri S. Thorgeirsson, Louis Libbrecht, Tania Roskams, Ju‐Seog Lee, Valentina M. Factor, Elizabeth A. Conner, Arsen Mikaelyan, Diego F. Calvisi, In‐Sun Chu and Anthony J. Demetris and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Pál Kaposi-Novák

15 papers receiving 1.6k citations

Hit Papers

A novel prognostic subtype of human hepatocellular carcin... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pál Kaposi-Novák United States 12 820 764 456 384 311 15 1.6k
Arsen Mikaelyan Russia 10 747 0.9× 487 0.6× 381 0.8× 296 0.8× 221 0.7× 26 1.4k
Jeong Eun Yoo South Korea 24 682 0.8× 682 0.9× 418 0.9× 480 1.3× 454 1.5× 48 1.8k
Sandrine Boyault France 14 1.0k 1.2× 503 0.7× 503 1.1× 351 0.9× 298 1.0× 20 1.7k
Sara Toffanin United States 14 1.2k 1.4× 890 1.2× 793 1.7× 515 1.3× 445 1.4× 18 2.3k
Ying‐Hao Shen China 23 571 0.7× 499 0.7× 418 0.9× 413 1.1× 447 1.4× 75 1.5k
Helena Cornellà Spain 9 732 0.9× 480 0.6× 574 1.3× 250 0.7× 249 0.8× 11 1.3k
Clara Alsinet Spain 18 1.7k 2.1× 727 1.0× 841 1.8× 462 1.2× 388 1.2× 27 2.7k
Sucha Singh United States 27 1.2k 1.4× 827 1.1× 265 0.6× 297 0.8× 509 1.6× 57 2.1k
Laia Cabellos Spain 9 721 0.9× 464 0.6× 514 1.1× 235 0.6× 217 0.7× 19 1.3k
Motoi Kondo Japan 20 419 0.5× 470 0.6× 359 0.8× 433 1.1× 188 0.6× 37 1.3k

Countries citing papers authored by Pál Kaposi-Novák

Since Specialization
Citations

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

Fields of papers citing papers by Pál Kaposi-Novák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pál Kaposi-Novák. 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 Pál Kaposi-Novák. The network helps show where Pál Kaposi-Novák may publish in the future.

Co-authorship network of co-authors of Pál Kaposi-Novák

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

All Works

15 of 15 papers shown
1.
Holczbauer, Ágnes, Benedek Gyöngyösi, Gábor Lotz, et al.. (2014). Increased Expression of Claudin-1 and Claudin-7 in Liver Cirrhosis and Hepatocellular Carcinoma. Pathology & Oncology Research. 20(3). 493–502. 25 indexed citations
2.
Marquardt, Jens U., Daekwan Seo, Luis E. Gómez-Quiroz, et al.. (2012). Loss of c-Met accelerates development of liver fibrosis in response to CCl4 exposure through deregulation of multiple molecular pathways. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(6). 942–951. 67 indexed citations
3.
Factor, Valentina M., Daekwan Seo, Tsuyoshi Ishikawa, et al.. (2010). Loss of c-Met Disrupts Gene Expression Program Required for G2/M Progression during Liver Regeneration in Mice. PLoS ONE. 5(9). e12739–e12739. 59 indexed citations
4.
Kaposi-Novák, Pál, Louis Libbrecht, Hyun Goo Woo, et al.. (2009). Central Role of c-Myc during Malignant Conversion in Human Hepatocarcinogenesis. Cancer Research. 69(7). 2775–2782. 149 indexed citations
5.
Kaposi-Novák, Pál. (2009). Az emberi májrák komparatív genomikai osztályozása. PubMed. 53(1). 61–67. 6 indexed citations
6.
Gómez-Quiroz, Luis E., Valentina M. Factor, Pál Kaposi-Novák, et al.. (2008). Hepatocyte-specific c-Met Deletion Disrupts Redox Homeostasis and Sensitizes to Fas-mediated Apoptosis. Journal of Biological Chemistry. 283(21). 14581–14589. 69 indexed citations
7.
Takami, Taro, Pál Kaposi-Novák, Koichi Uchida, et al.. (2007). Loss of Hepatocyte Growth Factor/c-Met Signaling Pathway Accelerates Early Stages of N -nitrosodiethylamine–Induced Hepatocarcinogenesis. Cancer Research. 67(20). 9844–9851. 80 indexed citations
8.
Takami, Taro, et al.. (2006). Loss of HGF/c-met signaling pathway accelerates early stages of DEN-induced hepatocarcinogenesis. Cancer Research. 66. 84–84. 1 indexed citations
9.
Kaposi-Novák, Pál, Ju‐Seog Lee, Luis E. Gómez-Quiroz, et al.. (2006). HGF/c-met expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and an aggressive phenotype. Cancer Research. 66. 795–795. 1 indexed citations
10.
Coulouarn, Cédric, Luis E. Gómez-Quiroz, Ju‐Seog Lee, et al.. (2006). Oncogene‐specific gene expression signatures at preneoplastic stage in mice define distinct mechanisms of hepatocarcinogenesis†. Hepatology. 44(4). 1003–1011. 49 indexed citations
11.
Kulka, Janina, Anna‐Mária Tõkés, Pál Kaposi-Novák, et al.. (2006). Detection of HER-2/neu gene amplification in breast carcinomas using quantitative real-time PCR — A comparison with immunohistochemical and FISH results. Pathology & Oncology Research. 12(4). 197–204. 28 indexed citations
12.
Lee, Ju‐Seog, Jeonghoon Heo, Louis Libbrecht, et al.. (2006). A novel prognostic subtype of human hepatocellular carcinoma derived from hepatic progenitor cells. Nature Medicine. 12(4). 410–416. 722 indexed citations breakdown →
13.
Kaposi-Novák, Pál. (2006). Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype. Journal of Clinical Investigation. 116(6). 1582–1595. 300 indexed citations
14.
Páska, Csilla, László Szilák, Anna‐Mária Tõkés, et al.. (2004). Effect of Formalin, Acetone, and RNAlater Fixatives on Tissue Preservation and Different Size Amplicons by Real-Time PCR from Paraffin-Embedded Tissue. Diagnostic Molecular Pathology. 13(4). 234–240. 58 indexed citations
15.
Kaposi-Novák, Pál, Ju‐Seog Lee, Arsen Mikaelyan, Vyomesh Patel, & Snorri S. Thorgeirsson. (2004). Oligonucleotide Microarray Analysis of Aminoallyl-Labeled cDNA Targets from Linear RNA Amplification. BioTechniques. 37(4). 580–588. 11 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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