Michael Langer

25 papers receiving 1.4k citations

Peers

Michael Langer
Comparison fields: 5 of 88
  • Geriatrics and Gerontology 172
  • Physiology 67
  • Cellular and Molecular Neuroscience 253
  • Molecular Biology 826
  • Endocrine and Autonomic Systems 77
Replace Dmitry S. Bilan with:
Dmitry S. Bilan Russia
Krishna Ghosh India
Kenta Saito Japan
Peter Berndt Switzerland
Frank Erdmann Germany
Mikhail E. Matlashov United States
Shilpa Sambashivan United States
Takako Kogure Japan
So Young Jang South Korea
Atsushi Miyawaki Japan
Michael Langer relative to Dmitry S. Bilan Russia Dmitry S. Bilan's profile →
Citations per field
00.5×4.9×
Dmitry S. Bilan · 1×
Citations per year

Countries citing papers authored by Michael Langer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Langer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Langer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Langer Line = papers co-authored together Michael Langer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002199
2 2004181
3 2007170
4 2000149
5 2000126
6 200185
7 200281
8 200080
9 200974
10 200151
11 199949
12 200040
13 200239
14 200235
15 200125
16 200123
17 198614
18 200013
19 198612
20 19985

About Michael Langer

Michael Langer is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Oncology and Materials Chemistry, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (4 papers), Genomics and Chromatin Dynamics (4 papers), Chemical Synthesis and Analysis (4 papers), Peptidase Inhibition and Analysis (4 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (2 papers) and Nonlinear Optical Materials Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (172 citations), Physiology (67 citations), Cellular and Molecular Neuroscience (253 citations), Molecular Biology (826 citations) and Endocrine and Autonomic Systems (77 citations). Michael Langer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include John M. Denu, Annette G. Beck‐Sickinger, Kirk Tanner, Margie T. Borra, James T. Slama, Chiara Cabrele, Craig L. Peterson, Laurie A. Boyer, Song Tan and Young‐Joo Kim. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, The Journal of Organic Chemistry, Journal of the American Chemical Society and European Journal of Biochemistry.

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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