K Röhrig

2.1k citations
25 papers · 1.7k · h-index 18

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 12
    • Metabolism, Diabetes, and Cancer 3
    • Wnt/β-catenin signaling in development and cancer 2

K Röhrig

25 papers receiving 1.6k citations

Peers

K Röhrig
Comparison fields: 5 of 92
  • Physiology 784
  • Endocrine and Autonomic Systems 186
  • Epidemiology 845
  • Genetics 242
  • Cardiology and Cardiovascular Medicine 224
Replace Alexia Zakaroff‐Girard with:
Alexia Zakaroff‐Girard France
Karine Lolmède France
Christopher Church United States
Kazuya Oshima Japan
Tayeba Khan United States
Thomas S. Morley United States
Lavanya Vishvanath United States
Shahram Hedjazifar Sweden
Danielle Hugol France
Hiroyuki Mori United States
K Röhrig relative to Alexia Zakaroff‐Girard France Alexia Zakaroff‐Girard's profile →
Citations per field
00.5×2.9×
Alexia Zakaroff‐Girard · 1×
Citations per year

Countries citing papers authored by K Röhrig

Since Specialization
Citations

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

Fields of papers citing papers by K Röhrig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995218
2 2004211
3 2003201
4 1998144
5 1995141
6 2002134
7 2005109
8 200085
9
Transforming growth factor beta (TGF-beta) inhibits the differentiation of human adipocyte precursor cells in primary culture.
199475
10 199864
11 200054
12 201437
13 200636
14 200134
15 200034
16 200227
17 200120
18 200317
19 199917
20 201911

About K Röhrig

K Röhrig is a scholar working on Epidemiology, Molecular Biology, Physiology, Cancer Research and Surgery, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (7 papers), Metabolism, Diabetes, and Cancer (3 papers), Lipid metabolism and biosynthesis (3 papers), Protease and Inhibitor Mechanisms (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Physiology (784 citations), Endocrine and Autonomic Systems (186 citations), Epidemiology (845 citations), Genetics (242 citations) and Cardiology and Cardiovascular Medicine (224 citations). K Röhrig has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Hans Hauner, Thorsten Petruschke, Jürgen Eckel, Vanessa van Harmelen, Thomas Skurk, Martina Russ, Christian Herder, Hubert Kolb, Sylvia Müller-Scholze and Hiroyoshi Horikoshi. Their work appears in journals such as Hormone and Metabolic Research, International Journal of Obesity, Diabetes, Diabetologia and Metabolism.

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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