Achim Plum

1.4k total citations
21 papers, 1.1k citations indexed

About

Achim Plum is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Achim Plum has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Achim Plum's work include Connexins and lens biology (11 papers), Epigenetics and DNA Methylation (5 papers) and Antibiotic Resistance in Bacteria (3 papers). Achim Plum is often cited by papers focused on Connexins and lens biology (11 papers), Epigenetics and DNA Methylation (5 papers) and Antibiotic Resistance in Bacteria (3 papers). Achim Plum collaborates with scholars based in Germany, Switzerland and Netherlands. Achim Plum's co-authors include Klaus Willecke, Otto Traub, Wouter H. Lamers, Elke Winterhager, Olaf Krüger, Susanne Kirchhoff, Thomas M. Magin, Jung-Sun Kim, Stephan Maxeiner and Martin Theis and has published in prestigious journals such as Development, The Journal of Comparative Neurology and Current Biology.

In The Last Decade

Achim Plum

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Achim Plum Germany 12 974 114 106 88 73 21 1.1k
Alessandro Romualdi Germany 8 1.0k 1.1× 189 1.7× 114 1.1× 109 1.2× 57 0.8× 10 1.2k
Jonathan Neumann United States 9 447 0.5× 58 0.5× 54 0.5× 70 0.8× 36 0.5× 14 650
Judith C. Williams United Kingdom 12 579 0.6× 142 1.2× 95 0.9× 66 0.8× 36 0.5× 14 856
Koichi Takebayashi Japan 18 783 0.8× 229 2.0× 80 0.8× 140 1.6× 108 1.5× 30 1.3k
Marcello Niceta Italy 18 489 0.5× 304 2.7× 46 0.4× 52 0.6× 60 0.8× 53 810
Wayne Tsang United States 15 549 0.6× 72 0.6× 67 0.6× 136 1.5× 47 0.6× 19 813
L. E. Alger United States 10 249 0.3× 55 0.5× 150 1.4× 87 1.0× 67 0.9× 11 627
Christina Van Itallie United States 4 764 0.8× 94 0.8× 74 0.7× 87 1.0× 97 1.3× 5 1.3k
Richard Tunwell United Kingdom 15 517 0.5× 42 0.4× 38 0.4× 122 1.4× 48 0.7× 20 754
E M Westphale United States 14 1.5k 1.5× 303 2.7× 111 1.0× 90 1.0× 54 0.7× 15 1.7k

Countries citing papers authored by Achim Plum

Since Specialization
Citations

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

Fields of papers citing papers by Achim Plum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achim Plum

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

All Works

20 of 20 papers shown
1.
Galata, Valentina, Cédric C. Laczny, Christina Backes, et al.. (2019). Integrating Culture-Based Antibiotic Resistance Profiles with Whole-Genome Sequencing Data for 11,087 Clinical Isolates. Genomics Proteomics & Bioinformatics. 17(2). 169–182. 9 indexed citations
2.
Volz, Carsten, Jonas Ramoni, Stephan Beisken, et al.. (2019). Clinical Resistome Screening of 1,110 Escherichia coli Isolates Efficiently Recovers Diagnostically Relevant Antibiotic Resistance Biomarkers and Potential Novel Resistance Mechanisms. Frontiers in Microbiology. 10. 1671–1671. 6 indexed citations
3.
Laczny, Cédric C., Valentina Galata, Achim Plum, Andreas E. Posch, & Andreas Keller. (2017). Assessing the heterogeneity of in silico plasmid predictions based on whole-genome-sequenced clinical isolates. Briefings in Bioinformatics. 20(3). 857–865. 18 indexed citations
4.
Galata, Valentina, Christina Backes, Cédric C. Laczny, et al.. (2016). Comparing genome versus proteome-based identification of clinical bacterial isolates. Briefings in Bioinformatics. 19(3). bbw122–bbw122. 7 indexed citations
5.
Hartmann, Oliver, Frédérique Spyratos, Nadia Harbeck, et al.. (2008). DNA Methylation Markers Predict Outcome in Node-Positive, Estrogen Receptor-Positive Breast Cancer with Adjuvant Anthracycline-Based Chemotherapy. Clinical Cancer Research. 15(1). 315–323. 79 indexed citations
6.
Willecke, Klaus, et al.. (2007). Biological Functions of Connexin Genes Revealed by Human Genetic Defects, Dominant Negative Approaches and Targeted Deletions in the Mouse. Novartis Foundation symposium. 219. 76–96. 13 indexed citations
7.
Lewin, Joern, Achim Plum, Thomas Hildmann, et al.. (2007). Comparative DNA methylation analysis in normal and tumour tissues and in cancer cell lines using differential methylation hybridisation. The International Journal of Biochemistry & Cell Biology. 39(7-8). 1539–1550. 16 indexed citations
8.
Rujan, Tamas, Joern Lewin, Christoph Sachsenmaier, et al.. (2006). Novel approach for the genome-wide identification of predictive DNA methylation marker candidates in cell lines.. Clinical Cancer Research. 12.
9.
Maier, Sabine, et al.. (2005). DNA Methylation Markers – an Opportunity to Further Individualize Therapy in Breast Cancer?. Personalized Medicine. 2(4). 339–347. 1 indexed citations
10.
Maier, Sabine, et al.. (2005). Identifying DNA Methylation Biomarkers of Cancer Drug Response. PubMed. 5(4). 223–232. 54 indexed citations
11.
Theis, Martin, Christophe Mas, Britta Döring, et al.. (2003). Replacement by a lacZ reporter gene assigns mouse connexin36, 45 and 43 to distinct cell types in pancreatic islets. Experimental Cell Research. 294(1). 18–29. 59 indexed citations
13.
Hagendorff, Andreas, et al.. (2001). Elektrophysiologische Charakterisierung Connexin 40-defizienter Herzen – In vivo-Untersuchungen an Mäusen. Zeitschrift für Kardiologie. 90(12). 898–905. 4 indexed citations
14.
Plum, Achim, Elke Winterhager, Joerg Pesch, et al.. (2001). Connexin31-Deficiency in Mice Causes Transient Placental Dysmorphogenesis but Does Not Impair Hearing and Skin Differentiation. Developmental Biology. 231(2). 334–347. 107 indexed citations
15.
Theis, Martin, Thomas M. Magin, Achim Plum, & Klaus Willecke. (2000). General or Cell Type-Specific Deletion and Replacement of Connexin-Coding DNA in the Mouse. Methods. 20(2). 205–218. 53 indexed citations
16.
Plum, Achim, Thomas M. Magin, Frank Dombrowski, et al.. (2000). Unique and shared functions of different connexins in mice. Current Biology. 10(18). 1083–1091. 222 indexed citations
17.
Plum, Achim, et al.. (2000). Pharmacokinetics of the Rapid-Acting Insulin Analog, Insulin Aspart, in Rats, Dogs, and Pigs, and Pharmacodynamics of Insulin Aspart in Pigs. Drug Metabolism and Disposition. 28(2). 155–160. 46 indexed citations
18.
Hagendorff, A. & Achim Plum. (2000). Herzrhythmusstörungen bei gezielt Connexin-defizienten Mäusen: Bedeutung für die Rhythmologie. Zeitschrift für Kardiologie. 89(12). 1108–1118. 2 indexed citations
19.
Güldenagel, Martin, Goran Söhl, Achim Plum, et al.. (2000). Expression patterns of connexin genes in mouse retina. The Journal of Comparative Neurology. 425(2). 193–201. 2 indexed citations
20.
Plum, Achim, et al.. (2000). Expression patterns of connexin genes in mouse retina. The Journal of Comparative Neurology. 425(2). 193–201. 103 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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