David Munch

468 total citations
10 papers, 358 citations indexed

About

David Munch is a scholar working on Epidemiology, Plant Science and Molecular Biology. According to data from OpenAlex, David Munch has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in David Munch's work include Plant-Microbe Interactions and Immunity (4 papers), Autophagy in Disease and Therapy (3 papers) and Herpesvirus Infections and Treatments (2 papers). David Munch is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Autophagy in Disease and Therapy (3 papers) and Herpesvirus Infections and Treatments (2 papers). David Munch collaborates with scholars based in Denmark, United States and Spain. David Munch's co-authors include Daniel Hofius, Morten Petersen, Simon Bressendorff, John Mundy, Eleazar Rodriguez, Ohkmae K. Park, Martin Sevoian, Rhoderick E. Brown, Jacek Bielawski and Julian G. Molotkovsky and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

David Munch

9 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Munch Denmark 7 241 139 119 58 17 10 358
Pooja Pandey United Kingdom 9 393 1.6× 246 1.8× 137 1.2× 91 1.6× 16 0.9× 12 565
Sung Min Hwang South Korea 10 186 0.8× 221 1.6× 66 0.6× 85 1.5× 9 0.5× 14 337
Sujina Mali United States 7 99 0.4× 165 1.2× 160 1.3× 68 1.2× 7 0.4× 10 321
Cecilia Rodríguez-Furlán United States 13 326 1.4× 307 2.2× 29 0.2× 85 1.5× 12 0.7× 20 467
Corina Weis Germany 7 258 1.1× 142 1.0× 48 0.4× 83 1.4× 8 0.5× 7 328
Kathleen L. Carroll United States 6 318 1.3× 257 1.8× 25 0.2× 32 0.6× 9 0.5× 8 421
Svend Dam Denmark 10 229 1.0× 131 0.9× 28 0.2× 13 0.2× 16 0.9× 10 326
Peter W. Bircham New Zealand 11 39 0.2× 207 1.5× 75 0.6× 100 1.7× 10 0.6× 13 331
Enric Sayas Spain 7 244 1.0× 192 1.4× 43 0.4× 30 0.5× 4 0.2× 8 352

Countries citing papers authored by David Munch

Since Specialization
Citations

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

Fields of papers citing papers by David Munch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Munch

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

All Works

10 of 10 papers shown
1.
Gardner, Dillon, Jessica Foster, David Munch, et al.. (2026). Molecular insights into the production of extracellular vesicles by plants. PLANT PHYSIOLOGY. 200(2).
2.
Loke, Ian, Andrea Lorentzen, David Munch, et al.. (2017). N‐glycan maturation mutants in Lotus japonicus for basic and applied glycoprotein research. The Plant Journal. 91(3). 394–407. 22 indexed citations
3.
Munch, David, Vikas Gupta, Asger Bachmann, et al.. (2017). The Brassicaceae Family Displays Divergent, Shoot-Skewed NLR Resistance Gene Expression. PLANT PHYSIOLOGY. 176(2). 1598–1609. 27 indexed citations
4.
Munch, David, Ooi-Kock Teh, Frederikke Gro Malinovsky, et al.. (2015). Retromer Contributes to Immunity-Associated Cell Death in Arabidopsis. The Plant Cell. 27(2). 463–479. 60 indexed citations
5.
Munch, David, Eleazar Rodriguez, Simon Bressendorff, et al.. (2014). Autophagy deficiency leads to accumulation of ubiquitinated proteins, ER stress, and cell death inArabidopsis. Autophagy. 10(9). 1579–1587. 75 indexed citations
6.
Zhai, Xiuhong, Dhirendra K. Simanshu, David Munch, et al.. (2014). Structure-Function Analyses Reveal Arabidopsis Accelerated-Cell-Death11 (Acd11) is a Ceramide-1-Phosphate Transfer Protein that Forms a Gltp-Fold. Biophysical Journal. 106(2). 300a–300a. 1 indexed citations
7.
Simanshu, Dhirendra K., Xiuhong Zhai, David Munch, et al.. (2014). Arabidopsis Accelerated Cell Death 11, ACD11, Is a Ceramide-1-Phosphate Transfer Protein and Intermediary Regulator of Phytoceramide Levels. Cell Reports. 6(2). 388–399. 70 indexed citations
8.
Hofius, Daniel, David Munch, Simon Bressendorff, John Mundy, & Morten Petersen. (2011). Role of autophagy in disease resistance and hypersensitive response-associated cell death. Cell Death and Differentiation. 18(8). 1257–1262. 86 indexed citations
9.
Munch, David & Martin Sevoian. (1980). Growth and Characterization of, and Immunological Response of Chickens to, a Cell Line Established from JMV Lymphoblastic Leukemia. Avian Diseases. 24(1). 23–23. 5 indexed citations
10.
Munch, David, et al.. (1978). In vitro establishment of Marek's disease herpesvirus-transformed productive and nonproductive lymphoblastoid cell lines. Infection and Immunity. 20(1). 315–318. 12 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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