Julian D. Langer

5.2k total citations
88 papers, 3.4k citations indexed

About

Julian D. Langer is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Julian D. Langer has authored 88 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 14 papers in Cell Biology and 12 papers in Spectroscopy. Recurrent topics in Julian D. Langer's work include ATP Synthase and ATPases Research (20 papers), Mitochondrial Function and Pathology (18 papers) and Photosynthetic Processes and Mechanisms (16 papers). Julian D. Langer is often cited by papers focused on ATP Synthase and ATPases Research (20 papers), Mitochondrial Function and Pathology (18 papers) and Photosynthetic Processes and Mechanisms (16 papers). Julian D. Langer collaborates with scholars based in Germany, United States and United Kingdom. Julian D. Langer's co-authors include Erin M. Schuman, Aline Ricarda Dörrbaum, Hartmut Michel, Özkan Yıldız, Thomas Meier, Werner Kühlbrandt, Deryck J. Mills, Erin M. Schuman, Lisa Kochen and Beatriz Alvarez‐Castelao and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Julian D. Langer

81 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian D. Langer Germany 32 2.7k 510 498 257 183 88 3.4k
Dmitriy B. Staroverov Russia 29 3.3k 1.3× 649 1.3× 419 0.8× 296 1.2× 135 0.7× 64 5.5k
Mark A. Hink Netherlands 30 2.8k 1.1× 571 1.1× 537 1.1× 249 1.0× 128 0.7× 66 4.5k
Hiromi Imamura Japan 39 3.2k 1.2× 467 0.9× 364 0.7× 213 0.8× 220 1.2× 89 4.7k
Corinne J. Smith United Kingdom 32 2.5k 0.9× 386 0.8× 646 1.3× 353 1.4× 176 1.0× 87 3.8k
Christian Johannes Gloeckner Germany 35 2.4k 0.9× 566 1.1× 692 1.4× 353 1.4× 100 0.5× 89 4.0k
Yan Zhen China 31 3.5k 1.3× 652 1.3× 427 0.9× 194 0.8× 63 0.3× 72 4.7k
Martin Lehmann Germany 40 2.1k 0.8× 439 0.9× 731 1.5× 202 0.8× 65 0.4× 122 4.4k
Tomohiro Nishizawa Japan 35 2.6k 1.0× 792 1.6× 236 0.5× 209 0.8× 167 0.9× 108 4.0k
Brett M. Paterson Australia 41 2.1k 0.8× 401 0.8× 327 0.7× 386 1.5× 146 0.8× 88 4.6k
X. Edward Zhou China 35 2.8k 1.0× 824 1.6× 134 0.3× 299 1.2× 139 0.8× 81 4.5k

Countries citing papers authored by Julian D. Langer

Since Specialization
Citations

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

Fields of papers citing papers by Julian D. Langer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian D. Langer. 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 Julian D. Langer. The network helps show where Julian D. Langer may publish in the future.

Co-authorship network of co-authors of Julian D. Langer

This figure shows the co-authorship network connecting the top 25 collaborators of Julian D. Langer. A scholar is included among the top collaborators of Julian D. Langer 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 Julian D. Langer. Julian D. Langer 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.
Zeinert, Rilee, Fei Zhou, L. Aravind, et al.. (2025). P-type ATPase magnesium transporter MgtA acts as a dimer. Nature Structural & Molecular Biology. 32(9). 1633–1643.
2.
Dieck, Susanne tom, et al.. (2025). Cell type-specific in vivo proteomes with a multicopy mutant methionyl tRNA synthetase mouse line. Lab Animal. 54(9). 228–237.
3.
Meier‐Credo, Jakob, et al.. (2025). How does Mycoplasma pneumoniae scavenge lipids from its host membranes?. Science Advances. 11(40). eady4746–eady4746.
4.
Zeinert, Rilee, et al.. (2025). Detection and Quantitation of Small Proteins Using Mass Spectrometry. Molecular & Cellular Proteomics. 24(9). 101052–101052. 1 indexed citations
5.
Khusainov, Iskander, Natalie Romanov, Camille Goemans, et al.. (2024). Bactericidal effect of tetracycline in E. coli strain ED1a may be associated with ribosome dysfunction. Nature Communications. 15(1). 4783–4783. 8 indexed citations
6.
Hofmann, Tommy, et al.. (2024). MS SIEVE –Pushing the Limits for Biomolecular Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 36(1). 91–99. 1 indexed citations
7.
Meier‐Credo, Jakob, Josep Julve, Noemí Rotllán, et al.. (2023). Essential protein P116 extracts cholesterol and other indispensable lipids for Mycoplasmas. Nature Structural & Molecular Biology. 30(3). 321–329. 8 indexed citations
8.
Meier‐Credo, Jakob, et al.. (2022). Conformational changes in mitochondrial complex I of the thermophilic eukaryote Chaetomium thermophilum. Science Advances. 8(47). eadc9952–eadc9952. 28 indexed citations
9.
Meier‐Credo, Jakob, Laura Preiß, Anja Resemann, et al.. (2022). Top-Down Identification and Sequence Analysis of Small Membrane Proteins Using MALDI-MS/MS. Journal of the American Society for Mass Spectrometry. 33(7). 1293–1302. 12 indexed citations
10.
Langer, Julian D., et al.. (2021). Dynamic bi-directional phosphorylation events associated with the reciprocal regulation of synapses during homeostatic up- and down-scaling. Cell Reports. 36(8). 109583–109583. 22 indexed citations
11.
Schuman, Erin M., et al.. (2021). Quantifying phosphorylation dynamics in primary neuronal cultures using LC-MS/MS. STAR Protocols. 3(1). 101063–101063. 3 indexed citations
12.
Biever, Anne, Caspar Glock, Georgi Tushev, et al.. (2020). Monosomes actively translate synaptic mRNAs in neuronal processes. Science. 367(6477). 171 indexed citations
13.
Neuhaus, Alexander, Muniyandi Selvaraj, Ralf Salzer, et al.. (2020). Cryo-electron microscopy reveals two distinct type IV pili assembled by the same bacterium. Nature Communications. 11(1). 2231–2231. 39 indexed citations
14.
Langer, Julian D., et al.. (2020). Proteome Turnover in the Spotlight: Approaches, Applications, and Perspectives. Molecular & Cellular Proteomics. 20. 100016–100016. 83 indexed citations
15.
Dörrbaum, Aline Ricarda, Beatriz Alvarez‐Castelao, Belquis Nassim-Assir, Julian D. Langer, & Erin M. Schuman. (2020). Proteome dynamics during homeostatic scaling in cultured neurons. eLife. 9. 68 indexed citations
16.
Murphy, Bonnie J., N. Klusch, Julian D. Langer, et al.. (2019). Rotary substates of mitochondrial ATP synthase reveal the basis of flexible F 1 -F o coupling. Science. 364(6446). 151 indexed citations
17.
Köster, Jan, Hermann Rohrer, Patrick N. Harter, et al.. (2018). Tumorigenic and Antiproliferative Properties of the TALE-Transcription Factors MEIS2D and MEIS2A in Neuroblastoma. Cancer Research. 78(8). 1935–1947. 10 indexed citations
18.
Langer, Julian D., et al.. (2018). Time- and polarity-dependent proteomic changes associated with homeostatic scaling at central synapses. eLife. 7. 38 indexed citations
19.
Dörrbaum, Aline Ricarda, Lisa Kochen, Julian D. Langer, & Erin M. Schuman. (2018). Local and global influences on protein turnover in neurons and glia. eLife. 7. 173 indexed citations
20.
Eigenbrod, Tatjana, Julia-Stefanie Frick, Matthew J. Sweet, et al.. (2015). Inhibition of Histone Deacetylases Permits Lipopolysaccharide-Mediated Secretion of Bioactive IL-1β via a Caspase-1–Independent Mechanism. The Journal of Immunology. 195(11). 5421–5431. 39 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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