M Krupp

765 total citations
25 papers, 552 citations indexed

About

M Krupp is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, M Krupp has authored 25 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Cancer Research. Recurrent topics in M Krupp's work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). M Krupp is often cited by papers focused on Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). M Krupp collaborates with scholars based in Germany, United States and France. M Krupp's co-authors include Peter R. Galle, Andreas Teufel, Jens U. Marquardt, T Maass, Uğur Şahin, John C. Castle, Arndt Weinmann, Frank Staib, Snorri S. Thorgeirsson and Susanne Strand and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Hepatology.

In The Last Decade

M Krupp

24 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M Krupp Germany	12	367	132	85	80	73	25	552
Veronica Yee-Law Leong Hong Kong	6	338 0.9×	115 0.9×	44 0.5×	87 1.1×	155 2.1×	6	478
Hong-Wei He China	15	218 0.6×	113 0.9×	34 0.4×	133 1.7×	305 4.2×	16	697
James R. Knabb United States	5	414 1.1×	227 1.7×	29 0.3×	234 2.9×	156 2.1×	5	656
Kyung Ryoul Kim South Korea	7	193 0.5×	74 0.6×	245 2.9×	151 1.9×	150 2.1×	9	439
Wen-Chi Feng Taiwan	7	371 1.0×	144 1.1×	20 0.2×	127 1.6×	115 1.6×	9	597
Carla Azzurra Amoreo Italy	15	249 0.7×	148 1.1×	24 0.3×	32 0.4×	193 2.6×	25	492
Garrison Komaniecki United States	7	214 0.6×	67 0.5×	35 0.4×	60 0.8×	95 1.3×	7	389
Gourish Mondal United States	11	304 0.8×	79 0.6×	24 0.3×	27 0.3×	110 1.5×	15	459
Hongli Hu United States	6	420 1.1×	149 1.1×	27 0.3×	47 0.6×	116 1.6×	6	565
Summar Siddiqui United States	9	358 1.0×	152 1.2×	22 0.3×	214 2.7×	154 2.1×	10	628

Countries citing papers authored by M Krupp

Since Specialization

Citations

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

Fields of papers citing papers by M Krupp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Krupp

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

All Works

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20 of 20 papers shown

Vogel, Ulrich, et al.. (2022). Individual Case Safety Report Replication: An Analysis of Case Reporting Transmission Networks. Drug Safety. 46(1). 39–52. 10 indexed citations

Maass, T, Jens U. Marquardt, Ju‐Seog Lee, et al.. (2015). Increased liver carcinogenesis and enrichment of stem cell properties in livers of Dickkopf 2 (Dkk2) deleted mice. Oncotarget. 7(20). 28903–28913. 7 indexed citations

Rey, Johannes, Antje Jahn‐Eimermacher, Ana Paula Barreiros, et al.. (2014). To Biopsy or Not to Biopsy: Evaluation of a Large German Cohort of Patients with Abnormal Liver Tests of Unknown Etiology. Digestion. 89(4). 310–318. 1 indexed citations

Staib, Frank, M Krupp, T Maass, et al.. (2013). CellMinerHCC: a microarray‐based expression database for hepatocellular carcinoma cell lines. Liver International. 34(4). 621–631. 14 indexed citations

Marquardt, Jens U., Kerstin Fischer, Shengyun Ma, et al.. (2013). Sirtuin-6–Dependent Genetic And Epigenetic Alterations Are Associated With Poor Clinical Outcome in Hepatocellular Carcinoma Patients. Hepatology. 58(3). 1054–1064. 123 indexed citations

Teufel, Andreas, Diana Becker, Susanne N. Weber, et al.. (2012). Identification of RARRES1 as a core regulator in liver fibrosis. Journal of Molecular Medicine. 90(12). 1439–1447. 9 indexed citations

Marquardt, Jens U., T Maass, M Krupp, et al.. (2012). 385 MOLECULAR STAGES OF PDGFB DRIVEN LIVER FIBROSIS: LESONS FROM A TRANSGENIC MOUSE MODEL. Journal of Hepatology. 56. S155–S155.

Krupp, M, Jens U. Marquardt, Uğur Şahin, et al.. (2012). RNA-Seq Atlas—a reference database for gene expression profiling in normal tissue by next-generation sequencing. Bioinformatics. 28(8). 1184–1185. 122 indexed citations

Krupp, M, Timo Itzel, T Maass, et al.. (2012). CellLineNavigator: a workbench for cancer cell line analysis. Nucleic Acids Research. 41(D1). D942–D948. 14 indexed citations

10.

Becker, Diana, M Krupp, Frank Staib, et al.. (2012). Genetic signatures shared in embryonic liver development and liver cancer define prognostically relevant subgroups in HCC. Molecular Cancer. 11(1). 55–55. 30 indexed citations

11.

Rey, Jean‐Marc, Oliver Schreiner, Mark Heise, et al.. (2011). Acute Renal Failure and Liver Dysfunction after Subcutaneous Injection of 3-sn-Phosphatidylcholine (Lipostabil®) - Case Report. Zeitschrift für Gastroenterologie. 49(3). 340–343. 6 indexed citations

12.

Krupp, M, T Maass, Jens U. Marquardt, et al.. (2011). The functional cancer map: A systems-level synopsis of genetic deregulation in cancer. BMC Medical Genomics. 4(1). 53–53. 28 indexed citations

13.

Staib, Frank, Arndt Weinmann, M Krupp, et al.. (2011). 253 CELLMINER HCC: A MICROARRAY BASED EXPRESSION DATABASE FOR HEPATOCELLULAR CARCINOMA CELL LINES. Journal of Hepatology. 54. S104–S104. 1 indexed citations

14.

Maass, T, et al.. (2010). Microarray-Based Gene Expression Analysis of Hepatocellular Carcinoma. Current Genomics. 11(4). 261–268. 29 indexed citations

15.

Buchkremer, S., M Krupp, Arndt Weinmann, et al.. (2010). Library of molecular associations: curating the complex molecular basis of liver diseases. BMC Genomics. 11(1). 189–189. 12 indexed citations

16.

Wang, Chunxia, T Maass, M Krupp, et al.. (2009). A systems biology perspective on cholangiocellular carcinoma development: Focus on MAPK-signaling and the extracellular environment. Journal of Hepatology. 50(6). 1122–1131. 18 indexed citations

17.

Weinmann, Arndt, et al.. (2008). BlotBase: A northern blot database. Gene. 427(1-2). 47–50. 11 indexed citations

18.

Krupp, M, Arndt Weinmann, Peter R. Galle, & Andreas Teufel. (2006). Actin binding LIM protein 3 (abLIM3). International Journal of Molecular Medicine. 17(1). 129–33. 25 indexed citations

19.

Teufel, Andreas, et al.. (2006). Genome-wide analysis of factors regulating gene expression in liver. Gene. 389(2). 114–121. 6 indexed citations

20.

Teufel, Andreas, M Krupp, Arndt Weinmann, & Peter R. Galle. (2006). Current bioinformatics tools in genomic biomedical research (Review). International Journal of Molecular Medicine. 17(6). 967–73. 30 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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