Florian Lutz

718 total citations
2 papers, 8 citations indexed

About

Florian Lutz is a scholar working on Process Chemistry and Technology, Oncology and Immunology. According to data from OpenAlex, Florian Lutz has authored 2 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Process Chemistry and Technology, 1 paper in Oncology and 1 paper in Immunology. Recurrent topics in Florian Lutz's work include Carbon dioxide utilization in catalysis (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Catalysis for Biomass Conversion (1 paper). Florian Lutz is often cited by papers focused on Carbon dioxide utilization in catalysis (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Catalysis for Biomass Conversion (1 paper). Florian Lutz collaborates with scholars based in Germany. Florian Lutz's co-authors include Stephan A. Schunk, Andreas Sundermann, Rüdiger Klapdor, Ronald Simon, Elena Ioana Braicu, Hans‐Georg Strauß, Eike Burandt, Katharina Prieske, Maximilian Klar and Tim Mandelkow and has published in prestigious journals such as Cancers and Topics in Catalysis.

In The Last Decade

Florian Lutz

2 papers receiving 8 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Florian Lutz Germany	2	5	4	3	2	2	2	8
Jaclyn M. Long United States	2		4 1.0×	2 0.7×	2 1.0×		5	7
L. P. Fu China	3		4 1.0×	3 1.0×	3 1.5×		11	12
Agnes Reschke United States	3		3 0.8×	2 0.7×	3 1.5×	1 0.5×	4	8
Deniz Yagmur Urey United States	2		4 1.0×	2 0.7×		1 0.5×	2	13
Jason K. Yokoyama United States	2		2 0.5×	7 2.3×	2 1.0×	2 1.0×	4	7
Yu-Qi Ping China	2		2 0.5×	2 0.7×	2 1.0×		3	3
A Ansari Pakistan	2		2 0.5×	4 1.3×		1 0.5×	3	8
Z. Tu China	3		2 0.5×	3 1.0×			9	9
Marco Russano Italy	2		2 0.5×	2 0.7×	1 0.5×		4	5
E. C. Graham United States	2		2 0.5×	5 1.7×	4 2.0×		2	9

Countries citing papers authored by Florian Lutz

Since Specialization

Citations

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

Fields of papers citing papers by Florian Lutz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Lutz

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Lutz. A scholar is included among the top collaborators of Florian Lutz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Lutz. Florian Lutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Burandt, Eike, Niclas C. Blessin, Florian Lutz, et al.. (2022). T-Cell Density at the Invasive Margin and Immune Phenotypes Predict Outcome in Vulvar Squamous Cell Cancer. Cancers. 14(17). 4246–4246. 3 indexed citations

2.

Lutz, Florian, et al.. (2009). Carbonylation of Glycerol and Other Polyols: A High Throughput Study of Feasibility. Topics in Catalysis. 53(1-2). 28–34. 5 indexed citations

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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