Tanja Lienard

1.2k total citations
9 papers, 568 citations indexed

About

Tanja Lienard is a scholar working on Molecular Biology, Biochemistry and Materials Chemistry. According to data from OpenAlex, Tanja Lienard has authored 9 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Biochemistry and 3 papers in Materials Chemistry. Recurrent topics in Tanja Lienard's work include Porphyrin Metabolism and Disorders (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Enzyme Structure and Function (3 papers). Tanja Lienard is often cited by papers focused on Porphyrin Metabolism and Disorders (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Enzyme Structure and Function (3 papers). Tanja Lienard collaborates with scholars based in Germany, United States and Switzerland. Tanja Lienard's co-authors include Gerhard Gottschalk, Uwe Deppenmeier, Hans‐Peter Klenk, Rosa Martínez‐Arias, Rainer Merkl, Heiko Liesegang, Carsten Jacobi, H J Fritz, Anke Henne and Thomas Hartsch and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Applied and Environmental Microbiology.

In The Last Decade

Tanja Lienard

8 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Lienard Germany 7 429 114 109 72 69 9 568
Todd Pihl United States 15 291 0.7× 85 0.7× 67 0.6× 33 0.5× 108 1.6× 21 508
W.M. de Vos Netherlands 7 479 1.1× 172 1.5× 168 1.5× 75 1.0× 32 0.5× 10 874
Ken-ichi Inatomi Japan 14 382 0.9× 73 0.6× 90 0.8× 33 0.5× 53 0.8× 24 593
K M Noll United States 11 265 0.6× 48 0.4× 110 1.0× 45 0.6× 51 0.7× 18 402
Ildar I. Mustakhimov Russia 14 488 1.1× 86 0.8× 122 1.1× 36 0.5× 30 0.4× 43 640
Martin Bokranz Germany 15 399 0.9× 104 0.9× 92 0.8× 61 0.8× 153 2.2× 17 659
Karola Schühle Germany 14 386 0.9× 81 0.7× 99 0.9× 36 0.5× 39 0.6× 20 594
Ethel E. Apolinario United States 11 486 1.1× 51 0.4× 84 0.8× 57 0.8× 47 0.7× 14 641
Christoph H. Hagemeier Germany 11 347 0.8× 145 1.3× 57 0.5× 19 0.3× 121 1.8× 16 559
Gregory S. Beckler United States 11 320 0.7× 101 0.9× 40 0.4× 103 1.4× 101 1.5× 14 406

Countries citing papers authored by Tanja Lienard

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Lienard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Lienard

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

All Works

9 of 9 papers shown
1.
Bastakis, Emmanouil, Jennifer Gerke, Rebekka Harting, et al.. (2025). Molecular circuit between Aspergillus nidulans transcription factors MsnA and VelB to coordinate fungal stress and developmental responses. PLoS Genetics. 21(7). e1011578–e1011578.
2.
Ferguson, Tsuneo, et al.. (2012). RamA, a protein required for reductive activation of corrinoid-dependent methylamine methyltransferase reactions in methanogenic Archaea.. Journal of Biological Chemistry. 287(12). 9328–9328. 2 indexed citations
3.
Ferguson, Tsuneo, Jitesh A. Soares, Tanja Lienard, Gerhard Gottschalk, & Joseph A. Krzycki. (2008). RamA, a Protein Required for Reductive Activation of Corrinoid-dependent Methylamine Methyltransferase Reactions in Methanogenic Archaea. Journal of Biological Chemistry. 284(4). 2285–2295. 51 indexed citations
4.
Mahapatra, Anirban, Gayathri Srinivasan, Tanja Lienard, et al.. (2007). Class I and class II lysyl‐tRNA synthetase mutants and the genetic encoding of pyrrolysine in Methanosarcina spp.. Molecular Microbiology. 64(5). 1306–1318. 10 indexed citations
5.
Henne, Anke, Holger Brüggemann, Carsten Raasch, et al.. (2004). The genome sequence of the extreme thermophile Thermus thermophilus. Nature Biotechnology. 22(5). 547–553. 311 indexed citations
6.
Lienard, Tanja, et al.. (2002). Identification of a Salt-Induced Primary Transporter for Glycine Betaine in the Methanogen Methanosarcina mazei Go1. Applied and Environmental Microbiology. 68(5). 2133–2139. 28 indexed citations
7.
Deppenmeier, Uwe, Tanja Lienard, & Gerhard Gottschalk. (1999). Novel reactions involved in energy conservation by methanogenic archaea. FEBS Letters. 457(3). 291–297. 97 indexed citations
9.
Lienard, Tanja, et al.. (1996). Sodium Ion Translocation by N5‐Methyltetrahydromethanopterin: Coenzyme M Methyltransferase from Methanosarcina mazei Gö1 Reconstituted in Ether Lipid Liposomes. European Journal of Biochemistry. 239(3). 857–864. 49 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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