Sven Lammich

5.9k citations
24 papers · 4.0k indexed · 2 hit papers · h-index 19

Impact in

  • Physiology top 0.5%
    • Alzheimer's disease research and treatments
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

Sven Lammich

23 papers receiving 3.9k citations

Hit Papers

Low cholesterol stimulates the nonamyloidogenic pathway by its effect on the α-secretase ADAM 10 2001 · 676 citations
6761999202620082017250500750

Peers

Sven Lammich
Comparison fields: 5 of 98
  • Physiology 2.5k
  • Cell Biology 724
  • Pharmacology 720
  • Immunology and Allergy 221
  • Cellular and Molecular Neuroscience 644
Replace Michael Willem with:
Michael Willem Germany
Agueda Rostagno United States
Katrien Horré Belgium
Anja Capell Germany
Keiro Shirotani Japan
Russell E. Rydel United States
Xiangyou Hu United States
Olav M. Andersen Denmark
Charbel Moussa United States
Masaaki Matsuoka Japan
Sven Lammich relative to Michael Willem Germany Michael Willem's profile →
Citations per field
00.5×2.5×
Michael Willem · 1×
Citations per year

Countries citing papers authored by Sven Lammich

Since Specialization
Citations

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

Fields of papers citing papers by Sven Lammich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202112
3 2013262
4 2013101
5 201167
6 201198
7 201036
8 200917
9 200969
10 2008344
11 20081
12 20080
13 200495
14 200364
15 2002236
16 2002174
17 2001237
18
Low cholesterol stimulates the nonamyloidogenic pathway by its effect on the α-secretase ADAM 10
Hit paper breakdown →
2001676
19 2000216
20 200060

About Sven Lammich

Sven Lammich is a scholar working on Physiology, Cell Biology, Cellular and Molecular Neuroscience, Biomaterials and Physiology, having authored 24 papers that have together received 4.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Cellular transport and secretion (4 papers), Glycosylation and Glycoproteins Research (3 papers), Signaling Pathways in Disease (3 papers), Nuclear Receptors and Signaling (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Protein Structure and Dynamics (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Physiology (2.5k citations), Cell Biology (724 citations), Pharmacology (720 citations), Immunology and Allergy (221 citations) and Cellular and Molecular Neuroscience (644 citations). Sven Lammich has collaborated with scholars based in Germany, Belgium and Japan. Frequent co-authors include Christian Haass, Falk Fahrenholz, Elżbieta Kojro, Winfried März, Gerald Gimpl, Rolf Postina, Sandra L. Gilbert, Roland Pfeiffer, Marek Jasionowski and Michael Willem. Their work appears in journals such as Journal of Biological Chemistry, Alzheimer s & Dementia, Journal of Neuroscience, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

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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