Tanveer S. Batth

5.3k total citations · 2 hit papers
41 papers, 3.8k citations indexed

About

Tanveer S. Batth is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Tanveer S. Batth has authored 41 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 10 papers in Spectroscopy and 6 papers in Biomedical Engineering. Recurrent topics in Tanveer S. Batth's work include Microbial Metabolic Engineering and Bioproduction (17 papers), Advanced Proteomics Techniques and Applications (10 papers) and Plant biochemistry and biosynthesis (9 papers). Tanveer S. Batth is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (17 papers), Advanced Proteomics Techniques and Applications (10 papers) and Plant biochemistry and biosynthesis (9 papers). Tanveer S. Batth collaborates with scholars based in United States, Denmark and United Kingdom. Tanveer S. Batth's co-authors include Christopher J. Petzold, Jay D. Keasling, Jesper V. Olsen, Paul D. Adams, Aindrila Mukhopadhyay, Taek Soon Lee, Alyssa M. Redding‐Johanson, Jorge Alonso-Gutiérrez, Chiara Francavilla and Edward E. K. Baidoo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Tanveer S. Batth

41 papers receiving 3.8k 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.

Engineering dynamic pathway regulation using stress-response promoters

2013 385 citations Fuzhong Zhang, Jorge Alonso-Gutiérrez et al. Nature Biotechnology profile →
An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes

2017 353 citations Dorte B. Bekker‐Jensen, Christian D. Kelstrup et al. Cell Systems profile →

Peers

Countries citing papers authored by Tanveer S. Batth

Since Specialization

Citations

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

Fields of papers citing papers by Tanveer S. Batth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanveer S. Batth. 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 Tanveer S. Batth. The network helps show where Tanveer S. Batth may publish in the future.

Co-authorship network of co-authors of Tanveer S. Batth

This figure shows the co-authorship network connecting the top 25 collaborators of Tanveer S. Batth. A scholar is included among the top collaborators of Tanveer S. Batth 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 Tanveer S. Batth. Tanveer S. Batth 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

#	Work	Indexed citations
1	Streamlined analysis of drug targets by proteome integral solubility alteration indicates organ-specific engagement 2024 ·Nature Communications ·Tanveer S. Batth, Marie Locard‐Paulet, Nadezhda T. Doncheva, Blanca López‐Méndez, Lars Juhl Jensen, Jesper V. Olsen	8
2	A seven-transmembrane methyltransferase catalysing N-terminal histidine methylation of lytic polysaccharide monooxygenases 2023 ·Nature Communications ·Tanveer S. Batth, (unknown), (unknown), Søren Brander, Jens Preben Morth, Katja S. Johansen, Morten H. H. Nørholm, Jakob Blæsbjerg Hoof, Jesper V. Olsen	6
3	A deeper look at carrier proteome effects for single-cell proteomics 2022 ·Communications Biology ·Zilu Ye, Tanveer S. Batth, Patrick Rüther, Jesper V. Olsen	38
4	The Role of TTP Phosphorylation in the Regulation of Inflammatory Cytokine Production by MK2/3 2019 ·The Journal of Immunology ·Natalia Ronkina, Nelli Shushakova, Christopher Tiedje, (unknown), Maxim A. X. Tollenaere, Aaron Scott, Tanveer S. Batth, Jesper V. Olsen, (unknown), Simon Bekker‐Jensen, Andrew R. Clark, Alexey Kotlyarov, Matthias Gaestel	29
5	GIGYF1/2-Driven Cooperation between ZNF598 and TTP in Posttranscriptional Regulation of Inflammatory Signaling 2019 ·Cell Reports ·Maxim A. X. Tollenaere, Christopher Tiedje, Simon Horskjær Rasmussen, (unknown), Anna Vind, Melanie Blasius, Tanveer S. Batth, Niels Mailand, Jesper V. Olsen, Matthias Gaestel, Simon Bekker‐Jensen	43
6	Insights into an unusual Auxiliary Activity 9 family member lacking the histidine brace motif of lytic polysaccharide monooxygenases 2019 ·Journal of Biological Chemistry ·Kristian E. H. Frandsen, Morten Tovborg, Christian Isak Jørgensen, Nikolaj Spodsberg, Marie-Noëlle Rosso, G.R. Hemsworth, Elspeth F. Garman, G.W. Grime, Jens-Christian N. Poulsen, Tanveer S. Batth, Shingo Miyauchi, Anna Lipzen, Chris Daum, Igor V. Grigoriev, Katja S. Johansen, Bernard Henrissat, Jean‐Guy Berrin, Leila Lo Leggio	27
7	Large-Scale Phosphoproteomics Reveals Shp-2 Phosphatase-Dependent Regulators of Pdgf Receptor Signaling 2018 ·Cell Reports ·Tanveer S. Batth, (unknown), (unknown), Maxim A. X. Tollenaere, Chiara Francavilla, Jesper V. Olsen	41
8	The ubiquitin ligase Cullin5SOCS2 regulates NDR1/STK38 stability and NF-κB transactivation 2017 ·Scientific Reports ·Indranil Paul, Tanveer S. Batth, Diego Iglesias‐Gato, (unknown), (unknown), (unknown), Gunnar Norstedt, Jesper V. Olsen, Fahad Zadjali, Amilcar Flores‐Morales	34
9	An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes breakdown → 2017 ·Cell Systems ·Dorte B. Bekker‐Jensen, Christian D. Kelstrup, Tanveer S. Batth, Sara C. Buch-Larsen, Christa Haldrup, Jesper B. Bramsen, Karina D. Sørensen, S. Høyer, Torben F. Ørntoft, Claus L. Andersen, Michael L. Nielsen, Jesper V. Olsen	353
10	Offline High pH Reversed-Phase Peptide Fractionation for Deep Phosphoproteome Coverage 2015 ·Methods in molecular biology ·Tanveer S. Batth, Jesper V. Olsen	33
11	Development of a Native Escherichia coli Induction System for Ionic Liquid Tolerance 2014 ·PLoS ONE ·(unknown), (unknown), (unknown), Tanveer S. Batth, William J. Turner, (unknown), Harvey W. Blanch, Blake A. Simmons, Paul D. Adams, Jay D. Keasling, Michael P. Thelen, Mary J. Dunlop, Christopher J. Petzold, Aindrila Mukhopadhyay	30
12	A targeted proteomics toolkit for high-throughput absolute quantification of Escherichia coli proteins 2014 ·Metabolic Engineering ·Tanveer S. Batth, Pragya Singh, (unknown), Mirta Mittelstedt Leal de Sousa, Leanne Jade G. Chan, Huu M. Tran, Eric G. Luning, (unknown), Khanh M. Vuu, Jay D. Keasling, Paul D. Adams, Christopher J. Petzold	37
13	Metabolic engineering of Escherichia coli for limonene and perillyl alcohol production 2013 ·Metabolic Engineering ·Jorge Alonso-Gutiérrez, Rossana Chan, Tanveer S. Batth, Paul D. Adams, Jay D. Keasling, Christopher J. Petzold, Taek Soon Lee	320
14	Engineering dynamic pathway regulation using stress-response promoters breakdown → 2013 ·Nature Biotechnology ·(unknown), Fuzhong Zhang, Jorge Alonso-Gutiérrez, Edward E. K. Baidoo, Tanveer S. Batth, Alyssa M. Redding‐Johanson, Christopher J. Petzold, Aindrila Mukhopadhyay, Taek Soon Lee, Paul D. Adams, Jay D. Keasling	385
15	Enhancing fatty acid production by the expression of the regulatory transcription factor FadR 2012 ·Metabolic Engineering ·Fuzhong Zhang, Mario Ouellet, Tanveer S. Batth, Paul D. Adams, Christopher J. Petzold, Aindrila Mukhopadhyay, Jay D. Keasling	145
16	Thermoascus aurantiacus is a promising source of enzymes for biomass deconstruction under thermophilic conditions 2012 ·Biotechnology for Biofuels ·(unknown), Tanveer S. Batth, Christopher J. Petzold, Paul D. Adams, Blake A. Simmons, Steven W. Singer	85
17	Targeted proteomics for metabolic pathway optimization: Application to terpene production 2011 ·Metabolic Engineering ·Alyssa M. Redding‐Johanson, Tanveer S. Batth, Rossana Chan, Rachel A. Krupa, (unknown), Paul D. Adams, Jay D. Keasling, Taek Soon Lee, Aindrila Mukhopadhyay, Christopher J. Petzold	149
18	Optimization of a heterologous mevalonate pathway through the use of variant HMG-CoA reductases 2011 ·Metabolic Engineering ·Magali Suzanne, (unknown), Alyssa M. Redding‐Johanson, Gregory D. Friedland, Rossana Chan, Tanveer S. Batth, John Haliburton, Dylan Chivian, Jay D. Keasling, Christopher J. Petzold, Taek Soon Lee, Swapnil R. Chhabra	128
19	4.0-Å resolution cryo-EM structure of the mammalian chaperonin TRiC/CCT reveals its unique subunit arrangement 2010 ·Proceedings of the National Academy of Sciences ·Yao Cong, Matthew L. Baker, Joanita Jakana, (unknown), Erik J. Miller, Stefanie Reißmann, (unknown), Alyssa M. Redding‐Johanson, Tanveer S. Batth, Aindrila Mukhopadhyay, Steven J. Ludtke, Judith Frydman, Wah Chiu	139
20	Analysis of theArabidopsisCytosolic Proteome Highlights Subcellular Partitioning of Central Plant Metabolism 2010 ·Journal of Proteome Research ·Jun Ito, Tanveer S. Batth, Christopher J. Petzold, Alyssa M. Redding‐Johanson, Aindrila Mukhopadhyay, (unknown), Etienne H. Meyer, A. Harvey Millar, Joshua L. Heazlewood	106

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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