Martin Schlattjan

2.2k citations
34 papers · 1.6k indexed · 1 hit paper · h-index 17

Martin Schlattjan

34 papers receiving 1.5k citations

Hit Papers

NLRP3 inflammasome activation is required for fibrosis de...4042014202620182022100200300400

Peers

Martin Schlattjan
Comparison fields: 5 of 94
  • Hepatology 561
  • Epidemiology 1.1k
  • Endocrinology, Diabetes and Metabolism 271
  • Pharmacology 119
  • Cell Biology 156
Replace Alişan Kahraman with:
Alişan Kahraman Germany
Ariel E. Feldstein United States
Yuemin Nan China
María Eugenia Inzaugarat Germany
Petra Windmolders Belgium
Michiharu Komatsu Japan
Paolo Conca Italy
Meena B. Bansal United States
Lungen Lu China
Geoff Farrell Australia
Martin Schlattjan relative to Alişan Kahraman Germany Alişan Kahraman's profile →
Citations per field
00.5×1.5×1.8×
Alişan Kahraman · 1×
Citations per year

Countries citing papers authored by Martin Schlattjan

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schlattjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20221
3 201827
4 201616
5 201572
6 2014120
7
NLRP3 inflammasome activation is required for fibrosis development in NAFLDbreakdown →
2014404
8 201486
9 201445
10 201422
11 201416
12 201315
13 201352
14 201311
15 201317
16 201236
17 201243
18 201025
19 2010123
20 2009102

About Martin Schlattjan

Martin Schlattjan is a scholar working on Hepatology, Epidemiology and Pharmacology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (25 papers), Liver Disease and Transplantation (7 papers), Liver physiology and pathology (4 papers), Pancreatitis Pathology and Treatment (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Diet, Metabolism, and Disease (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Hepatology (561 citations), Epidemiology (1.1k citations) and Endocrinology, Diabetes and Metabolism (271 citations). Martin Schlattjan has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Ali Canbay, Guido Gerken, Jan‐Peter Sowa, Lars P. Bechmann, Alexander Wree, Ariel E. Feldstein, Hideo A. Baba, Hal M. Hoffman, Hongying Li and Matthew D. McGeough. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

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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