Martin Kragl

1.5k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Martin Kragl is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Martin Kragl has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Surgery and 4 papers in Genetics. Recurrent topics in Martin Kragl's work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and Planarian Biology and Electrostimulation (3 papers). Martin Kragl is often cited by papers focused on Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and Planarian Biology and Electrostimulation (3 papers). Martin Kragl collaborates with scholars based in Germany, Austria and Japan. Martin Kragl's co-authors include Elly M. Tanaka, Dunja Knapp, Eugen Nacu, Shahryar Khattak, Hans H. Epperlein, Malcolm Maden, Eckhard Lammert, Esther Schnapp, Lee L. Rubin and Daniel Eberhard and has published in prestigious journals such as Nature, Nature Communications and Development.

In The Last Decade

Martin Kragl

16 papers receiving 1.0k citations

Hit Papers

Cells keep a memory of their tissue origin during axolotl... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Kragl Germany 9 729 283 160 141 139 18 1.1k
Brian McNeill Canada 22 491 0.7× 329 1.2× 104 0.7× 95 0.7× 269 1.9× 37 1.4k
Cristiana P. Velloso United Kingdom 16 644 0.9× 185 0.7× 137 0.9× 91 0.6× 75 0.5× 25 916
Emmanuelle Havis France 19 496 0.7× 391 1.4× 182 1.1× 242 1.7× 54 0.4× 23 1.3k
Dominique Le Guellec France 21 461 0.6× 83 0.3× 190 1.2× 160 1.1× 91 0.7× 32 1.1k
Hideho Uchiyama Japan 21 1.3k 1.8× 108 0.4× 107 0.7× 260 1.8× 43 0.3× 41 1.5k
Makoto Takeo Japan 17 665 0.9× 170 0.6× 579 3.6× 60 0.4× 176 1.3× 22 1.8k
Tadayoshi Hayata Japan 22 1.1k 1.6× 134 0.5× 199 1.2× 208 1.5× 60 0.4× 76 1.7k
Tatsuo S. Hamazaki Japan 24 581 0.8× 185 0.7× 188 1.2× 295 2.1× 49 0.4× 36 1.5k
Carolyn E. Adler United States 12 734 1.0× 155 0.5× 201 1.3× 100 0.7× 39 0.3× 19 1.4k

Countries citing papers authored by Martin Kragl

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kragl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kragl

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kragl. A scholar is included among the top collaborators of Martin Kragl 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 Martin Kragl. Martin Kragl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kragl, Martin, T. Braun, Przemyslaw A. Filipek, et al.. (2024). An oil-in-water emulsion containing a combination of ginger extract and synthetic cannabidiol with potent in vitro anti-inflammatory effects alleviates symptoms of atopic dermatitis in a clinical trial. European Journal of Dermatology. 34(4). 416–424. 2 indexed citations
2.
Braun, T., Shah Hussain, Thomas Jakschitz, et al.. (2024). Anti-inflammatory and cytoprotective polypharmacology of Canephron N reveals targeting of the IKK-NF-κB and p38-MK2-RIPK1 axes. Biomedicine & Pharmacotherapy. 182. 117747–117747.
3.
Röhling, Martin, Meinolf Wonnemann, Martin Kragl, et al.. (2019). Determination of Postprandial Glycemic Responses by Continuous Glucose Monitoring in a Real-World Setting. Nutrients. 11(10). 2305–2305. 15 indexed citations
4.
Kragl, Martin, et al.. (2019). Spinetoram, a modern, for today's plant protection guidelines, very appropriate insecticidal active ingredient to control caterpillars of harmful butterflies on fruit trees, vines and olives and also pear psyllid.. 519–523.
5.
Weiß, Jürgen, Anna Pujol, Fátima Bosch, et al.. (2018). Deletion of the RabGAP TBC1D1 Leads to Enhanced Insulin Secretion and Fatty Acid Oxidation in Islets From Male Mice. Endocrinology. 159(4). 1748–1761. 8 indexed citations
6.
Kragl, Martin, Rajib Schubert, Jürgen Weiß, et al.. (2016). The biomechanical properties of an epithelial tissue determine the location of its vasculature. Nature Communications. 7(1). 13560–13560. 19 indexed citations
7.
Kragl, Martin, et al.. (2015). Sheep primary cells asin vitromodels to investigateMycoplasma agalactiaehost cell interactions. Pathogens and Disease. 73(7). ftv048–ftv048. 8 indexed citations
8.
Mauracher, S.G., Christian Molitor, Claudia Michael, et al.. (2014). High level protein-purification allows the unambiguous polypeptide determination of latent isoform PPO4 of mushroom tyrosinase. Phytochemistry. 99. 14–25. 44 indexed citations
9.
Kragl, Martin, Ina Nüsslein, Akira Tazaki, et al.. (2012). Muscle and connective tissue progenitor populations show distinct Twist1 and Twist3 expression profiles during axolotl limb regeneration. Developmental Biology. 373(1). 196–204. 17 indexed citations
11.
Kragl, Martin & Eckhard Lammert. (2010). Basement Membrane in Pancreatic Islet Function. Advances in experimental medicine and biology. 654. 217–234. 50 indexed citations
12.
Eberhard, Daniel, Martin Kragl, & Eckhard Lammert. (2010). ‘Giving and taking’: endothelial and β-cells in the islets of Langerhans. Trends in Endocrinology and Metabolism. 21(8). 457–463. 89 indexed citations
13.
Kragl, Martin, Dunja Knapp, Eugen Nacu, et al.. (2009). Cells keep a memory of their tissue origin during axolotl limb regeneration. Nature. 460(7251). 60–65. 634 indexed citations breakdown →
14.
Kragl, Martin & Elly M. Tanaka. (2009). Grafting Axolotl (Ambystoma mexicanum) Limb Skin and Cartilage from GFP+ Donors to Normal Hosts. Cold Spring Harbor Protocols. 2009(8). pdb.prot5266–pdb.prot5266. 5 indexed citations
15.
Kragl, Martin & Elly M. Tanaka. (2009). Axolotl (Ambystoma mexicanum) Limb and Tail Amputation. Cold Spring Harbor Protocols. 2009(8). pdb.prot5267–pdb.prot5267. 6 indexed citations
16.
Kragl, Martin, Dunja Knapp, Eugen Nacu, et al.. (2008). Novel Insights into the Flexibility of Cell and Positional Identity during Urodele Limb Regeneration. Cold Spring Harbor Symposia on Quantitative Biology. 73(0). 583–592. 10 indexed citations
17.
Schnapp, Esther, Martin Kragl, Lee L. Rubin, & Elly M. Tanaka. (2005). Hedgehog signaling controls dorsoventral patterning, blastema cell proliferation and cartilage induction during axolotl tail regeneration. Development. 132(14). 3243–3253. 138 indexed citations
18.
Kragl, Martin, et al.. (2005). Vitamin B2 (riboflavin) and a mixture of vitamin B2 and C affects MMC efficiency in aerated media under irradiation.. PubMed. 24(6). 4031–4. 6 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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