Daniel Lottaz

30 papers receiving 1.2k citations

Peers

Daniel Lottaz
Comparison fields: 5 of 72
  • Cancer Research 543
  • Nephrology 58
  • Genetics 168
  • Transplantation 18
  • Molecular Biology 233
Replace Cheryl de Vallière with:
Cheryl de Vallière Switzerland
Sylvia Schütz United States
Pia Wallbrandt Sweden
Anneke Dörrie Germany
Huiren Zhao United States
Nicolas Nottet France
Eunice N. Hatada United States
Zhixiang Hu China
Christoph Schwärzler Austria
Yang Luo China
Daniel Lottaz relative to Cheryl de Vallière Switzerland Cheryl de Vallière's profile →
Citations per field
00.5×5×10×15×18×
Cheryl de Vallière · 1×
Citations per year

Countries citing papers authored by Daniel Lottaz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lottaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014157
2 2004150
3 200694
4 201381
5
Nonpolarized secretion of human meprin alpha in colorectal cancer generates an increased proteolytic potential in the stroma.
199972
6 199966
7 200863
8 200960
9 201060
10 200249
11 201140
12 201637
13 200631
14 201130
15 200828
16 199227
17 201125
18 199721
19 200118
20 199915

About Daniel Lottaz

Daniel Lottaz is a scholar working on Cancer Research, Genetics, Oncology, Cell Biology and Transplantation, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (16 papers), Inflammatory Bowel Disease (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Digestive system and related health (3 papers), Cellular transport and secretion (2 papers), Dermatology and Skin Diseases (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Cancer Research (543 citations), Nephrology (58 citations), Genetics (168 citations), Transplantation (18 citations) and Molecular Biology (233 citations). Daniel Lottaz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Erwin E. Sterchi, Walter Stöcker, Dagmar Hahn, Christoph Becker‐Pauly, Stefan Müller, Irene Yiallouros, Judith S. Bond, A.H. Schutte, Hans‐Willi Krell and Beatrice Oneda. Their work appears in journals such as PLoS ONE, FEBS Letters, European Journal of Biochemistry, Journal of Investigative Dermatology and Biological Chemistry.

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.

Explore authors with similar magnitude of impact