Kathrin Renner

10.1k citations
90 papers · 5.7k · 1 hit paper · h-index 37

Impact in

Papers in

Kathrin Renner

89 papers receiving 5.6k citations

Kathrin Renner's Hit Papers

Inhibitory effect of tumor cell–derived lactic acid on human T cells 2007 · 1.5k citations
1.5k0+6+12Years since publication50010001.5k

Peers

Kathrin Renner
Comparison fields: 5 of 141
  • Cancer Research 1.5k
  • Behavioral Neuroscience 324
  • Immunology 1.3k
  • Biological Psychiatry 128
  • Oncology 952
Replace Barbara Kaltschmidt with:
Barbara Kaltschmidt Germany
Nadine Binart France
Michael J. Garabedian United States
Ken Arai United States
Donald Defranco United States
Eduardo Arzt Argentina
Ying Luo China
Wen Shen United States
Zheng Li China
Ming Xu United States
Kathrin Renner relative to Barbara Kaltschmidt Germany Barbara Kaltschmidt's profile →
Citations per field
00.5×4.9×
Barbara Kaltschmidt · 1×
Citations per year

Countries citing papers authored by Kathrin Renner

Since Specialization
Citations

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

Fields of papers citing papers by Kathrin Renner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inhibitory effect of tumor cell–derived lactic acid on human T cells
Hit paper breakdown →
20071507
2 2009330
3 2017288
4 2004202
5 2018194
6 2015172
7 2014136
8 2016118
9 1987118
10 2012114
11 1997111
12 2015105
13 2003104
14 2005100
15 201897
16 202093
17 201393
18 200088
19 200682
20 199874

About Kathrin Renner

Kathrin Renner is a scholar working on Molecular Biology, Cancer Research, Immunology, Physiology and Oncology, having authored 90 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (22 papers), Mitochondrial Function and Pathology (11 papers), Immune cells in cancer (11 papers), Immune Cell Function and Interaction (11 papers), Adipose Tissue and Metabolism (10 papers), Neuroendocrine regulation and behavior (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Stress Responses and Cortisol (8 papers). The work is most often cited by research in Cancer Research (1.5k citations), Behavioral Neuroscience (324 citations), Immunology (1.3k citations), Biological Psychiatry (128 citations) and Oncology (952 citations). Kathrin Renner has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Marina Kreutz, Reinhard Andreesen, Eva Gottfried, Birgit Timischl, Leoni A. Kunz‐Schughart, Katrin Singer, Petra Hoffmann, Andréas Mackensen, Matthias Edinger and Katrin Peter. Their work appears in journals such as International Journal of Molecular Sciences, Neuroscience, Frontiers in Immunology, The FASEB Journal and Cancers.

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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