Martin Latterich

4.6k total citations · 2 hit papers
35 papers, 3.8k citations indexed

About

Martin Latterich is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Martin Latterich has authored 35 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 21 papers in Cell Biology and 5 papers in Spectroscopy. Recurrent topics in Martin Latterich's work include Endoplasmic Reticulum Stress and Disease (15 papers), Cellular transport and secretion (11 papers) and Fungal and yeast genetics research (10 papers). Martin Latterich is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (15 papers), Cellular transport and secretion (11 papers) and Fungal and yeast genetics research (10 papers). Martin Latterich collaborates with scholars based in United States, Canada and France. Martin Latterich's co-authors include Randy Schekman, Sheetal Patel, Tomomi Kuwana, Mason Mackey, Roger Schneiter, Mark H. Ellisman, Douglas R. Green, Donald D. Newmeyer, Guy Perkins and Kai‐Uwe Fröhlich and has published in prestigious journals such as Cell, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Martin Latterich

35 papers receiving 3.8k citations

Hit Papers

Bid, Bax, and Lipids Coop... 1995 2026 2005 2015 2002 1995 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Latterich 2.9k 1.5k 523 293 256 35 3.8k
Yuxin Mao 2.5k 0.9× 1.2k 0.8× 447 0.9× 198 0.7× 364 1.4× 59 3.6k
Martin D. Snider 2.7k 0.9× 1.3k 0.9× 315 0.6× 229 0.8× 348 1.4× 49 3.5k
Guennadi Kozlov 3.3k 1.1× 1.2k 0.8× 927 1.8× 240 0.8× 564 2.2× 102 4.5k
M. Alejandro Barbieri 1.7k 0.6× 1.4k 0.9× 317 0.6× 188 0.6× 282 1.1× 76 3.1k
Jeffrey H. Stack 2.5k 0.9× 1.6k 1.1× 499 1.0× 186 0.6× 312 1.2× 24 4.1k
Rosine Haguenauer‐Tsapis 4.3k 1.5× 2.6k 1.8× 631 1.2× 410 1.4× 212 0.8× 78 5.2k
Nicholas G. Davis 2.9k 1.0× 1.3k 0.9× 211 0.4× 307 1.0× 176 0.7× 38 3.6k
Yasufumi Minami 2.3k 0.8× 1.1k 0.7× 289 0.6× 192 0.7× 298 1.2× 36 2.8k
Tohru Ichimura 2.6k 0.9× 666 0.5× 1.1k 2.0× 164 0.6× 273 1.1× 84 4.0k
Hesso Farhan 2.1k 0.7× 1.4k 0.9× 1.1k 2.0× 265 0.9× 394 1.5× 81 4.0k

Countries citing papers authored by Martin Latterich

Since Specialization
Citations

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

Fields of papers citing papers by Martin Latterich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Latterich

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Latterich. A scholar is included among the top collaborators of Martin Latterich 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 Martin Latterich. Martin Latterich 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.
Négroni, Luc, Saı̈d Taouji, Lee Anne Beausang, et al.. (2014). Integrative Quantitative Proteomics Unveils Proteostasis Imbalance in Human Hepatocellular Carcinoma Developed on Nonfibrotic Livers. Molecular & Cellular Proteomics. 13(12). 3473–3483. 18 indexed citations
2.
López‐Camacho, Elena, et al.. (2012). Clinical proteomics and OMICS clues useful in translational medicine research. Proteome Science. 10(1). 35–35. 20 indexed citations
4.
Sperandio, Sabina, et al.. (2009). TOE1 interacts with p53 to modulate its transactivation potential. FEBS Letters. 583(13). 2165–2170. 16 indexed citations
5.
Latterich, Martin & Jacques Corbeil. (2008). Label-free detection of biomolecular interactions in real time with a nano-porous silicon-based detection method. Proteome Science. 6(1). 31–31. 19 indexed citations
6.
Latterich, Martin, Mark Abramovitz, & Brian Leyland‐Jones. (2008). Proteomics: New technologies and clinical applications. European Journal of Cancer. 44(18). 2737–2741. 92 indexed citations
7.
Halawani, Dalia & Martin Latterich. (2006). p97: The Cell's Molecular Purgatory?. Molecular Cell. 22(6). 713–717. 120 indexed citations
8.
Barker, David, Mark S. Hansen, A. Fawad Faruqi, et al.. (2004). Two Methods of Whole-Genome Amplification Enable Accurate Genotyping Across a 2320-SNP Linkage Panel. Genome Research. 14(5). 901–907. 176 indexed citations
9.
Lopreiato, Joseph, et al.. (2003). DNA Damage Modulates Nucleolar Interaction of the Werner Protein with the AAA ATPase p97/VCP. Molecular Biology of the Cell. 14(10). 4221–4229. 67 indexed citations
10.
Kuwana, Tomomi, Mason Mackey, Guy Perkins, et al.. (2002). Bid, Bax, and Lipids Cooperate to Form Supramolecular Openings in the Outer Mitochondrial Membrane. Cell. 111(3). 331–342. 1182 indexed citations breakdown →
11.
Krebber, Heike, et al.. (2001). The Conserved Npl4 Protein Complex Mediates Proteasome-dependent Membrane-bound Transcription Factor Activation. Molecular Biology of the Cell. 12(10). 3226–3241. 134 indexed citations
12.
Lin, Andrew C., Sheetal Patel, & Martin Latterich. (2001). Regulation of Organelle Membrane Fusion by Pkc1p. Traffic. 2(10). 698–704. 11 indexed citations
13.
Xu, Shuichan, Han-kuei Huang, Peter Kaiser, Martin Latterich, & Tony Hunter. (2000). Phosphorylation and spindle pole body localization of the Cdc15p mitotic regulatory protein kinase in budding yeast. Current Biology. 10(6). 329–332. 72 indexed citations
14.
Brizzio, Valeria, et al.. (1999). Genetic Interactions betweenKAR7/SEC71,KAR8/JEM1,KAR5, andKAR2during Nuclear Fusion inSaccharomyces cerevisiae. Molecular Biology of the Cell. 10(3). 609–626. 38 indexed citations
15.
Indig, Fred E., et al.. (1998). Organelle Membrane Fusion: A Novel Function for the Syntaxin Homolog Ufe1p in ER Membrane Fusion. Cell. 92(5). 611–620. 130 indexed citations
16.
Latterich, Martin & Sheetal Patel. (1998). The AAA team: related ATPases with diverse functions. Trends in Cell Biology. 8(2). 65–71. 413 indexed citations
17.
Latterich, Martin, Kai‐Uwe Fröhlich, & Randy Schekman. (1995). Membrane fusion and the cell cycle: Cdc48p participates in the fusion of ER membranes. Cell. 82(6). 885–893. 332 indexed citations breakdown →
18.
Latterich, Martin & Randy Schekman. (1994). The karyogamy gene KAR2 and novel proteins are required for ER-membrane fusion. Cell. 78(1). 87–98. 96 indexed citations
19.
Latterich, Martin & Martin D. Watson. (1993). Evidence for a Dual Osmoregulatory Mechanism in the Yeast Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 191(3). 1111–1117. 28 indexed citations
20.
Latterich, Martin & Martin D. Watson. (1991). Isolation and characterization of osmosensitive vacuolar mutants of Saccharomyces cerevisiae. Molecular Microbiology. 5(10). 2417–2426. 26 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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