Michael Lammers

2.7k citations
49 papers · 1.9k indexed · 1 hit paper · h-index 22

Michael Lammers

47 papers receiving 1.9k citations

Hit Papers

DNA Repair Network Analysis Reveals Shieldin as a Key Reg...3312018202620202023100200300

Peers

Michael Lammers
Comparison fields: 5 of 99
  • Cell Biology 441
  • Geriatrics and Gerontology 95
  • Molecular Biology 1.3k
  • Virology 88
  • Immunology and Allergy 89
Replace Jianye Zang with:
Jianye Zang China
Duncan L. Smith United Kingdom
Joseph Fernandez United States
Philip R. Dash United Kingdom
Adam M. Benham United Kingdom
Jun‐ichi Furukawa Japan
Mamoru Mizuno Japan
Srikumar M. Raja United States
J. Christopher Fromme United States
Michael Lammers relative to Jianye Zang China Jianye Zang's profile →
Citations per field
00.5×6.8×
Jianye Zang · 1×
Citations per year

Countries citing papers authored by Michael Lammers

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Lammers, 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 Lammers Line = papers co-authored together Michael Lammers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20241
5 20241
6 20241
7 20247
8 20241
9 20224
10 2022126
11 202122
12 202021
13 202030
14 2019133
15 201734
16 201515
17
Criminologisch onderzoek met DNA-sporen|
20113
18 201093
19 200896
20 2005220

About Michael Lammers

Michael Lammers is a scholar working on Geriatrics and Gerontology, Cell Biology, Molecular Biology, Oncology and Biochemistry, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Ubiquitin and proteasome pathways (9 papers), Enzyme Structure and Function (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Autophagy in Disease and Therapy (6 papers), Enzyme Catalysis and Immobilization (5 papers), Sirtuins and Resveratrol in Medicine (5 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Cell Biology (441 citations), Geriatrics and Gerontology (95 citations), Molecular Biology (1.3k citations), Virology (88 citations) and Immunology and Allergy (89 citations). Michael Lammers has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alfred Wittinghofer, Rolf Rose, Takeo Narita, Rajat Gupta, Chunaram Choudhary, Mohammad Reza Ahmadian, Michael Weyand, Leo C. James, Andrea Scrima and Heinz Neumann. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Angewandte Chemie International Edition, Biological Chemistry and ACS Catalysis.

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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