Daniel Kraus

2.1k total citations
54 papers, 1.4k citations indexed

About

Daniel Kraus is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Daniel Kraus has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 10 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Daniel Kraus's work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Pregnancy and preeclampsia studies (4 papers). Daniel Kraus is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Pregnancy and preeclampsia studies (4 papers). Daniel Kraus collaborates with scholars based in Germany, United States and Slovakia. Daniel Kraus's co-authors include Barbara B. Kahn, Johannes Klein, Bettina J. Kraus, Britta Meier, Qin Yang, Mathias Faßhauer, Nina Perwitz, Alexander S. Banks, Joseph T. Rodgers and Sanjay Bhanot and has published in prestigious journals such as Nature, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Kraus

49 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Kraus Germany 17 423 290 265 191 153 54 1.4k
Xiaokun Gang China 22 626 1.5× 484 1.7× 222 0.8× 146 0.8× 275 1.8× 64 1.7k
José Manuel Fragoso Mexico 22 427 1.0× 210 0.7× 302 1.1× 264 1.4× 192 1.3× 142 1.7k
Ángeles Álvarez Spain 26 549 1.3× 287 1.0× 277 1.0× 227 1.2× 189 1.2× 56 2.2k
Hyeong Kyu Park South Korea 15 311 0.7× 584 2.0× 483 1.8× 112 0.6× 222 1.5× 50 1.5k
Xiaohong Lin China 18 297 0.7× 136 0.5× 177 0.7× 196 1.0× 172 1.1× 51 1.1k
Afshan N. Malik United Kingdom 23 1.1k 2.7× 358 1.2× 279 1.1× 155 0.8× 137 0.9× 50 1.9k
Sabrina Basciani Italy 32 607 1.4× 903 3.1× 357 1.3× 298 1.6× 585 3.8× 64 2.6k
Joanne McNelis United States 9 652 1.5× 688 2.4× 832 3.1× 291 1.5× 318 2.1× 10 2.1k
Sonu Kashyap United States 12 485 1.1× 251 0.9× 193 0.7× 73 0.4× 34 0.2× 21 1.2k
Roberto Vargas United States 22 344 0.8× 166 0.6× 135 0.5× 288 1.5× 213 1.4× 75 1.4k

Countries citing papers authored by Daniel Kraus

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kraus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kraus

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

All Works

20 of 20 papers shown
1.
Newell, Felicity L., et al.. (2026). Recovery of tree-related microhabitats in a tropical rainforest after agricultural abandonment. Biological Conservation. 316. 111739–111739.
2.
Kraus, Daniel, et al.. (2025). Immune Checkpoint Inhibitor-Associated Acute Kidney Injury: A Single-Center Experience of Biopsy-Proven Cases. Journal of Clinical Medicine. 14(9). 3231–3231. 1 indexed citations
3.
4.
Kraus, Daniel, et al.. (2024). The correlation between human seminal plasma sialoproteins and ejaculate parameters. International Journal of Biological Macromolecules. 266(Pt 2). 131341–131341.
5.
Shmanko, Kateryna, Daniel Kraus, Simon Johannes Gairing, et al.. (2023). Plasma exchange for treatment of a therapy‐related thrombotic microangiopathy in a patient with advanced hepatocellular carcinoma—A case report. SHILAP Revista de lepidopterología. 11(11). e8124–e8124. 2 indexed citations
6.
Boedecker-Lips, Simone Cosima, et al.. (2023). Case Report of Anti-Thrombogenicity. Blood Purification. 52(Suppl. 1). 95–97. 1 indexed citations
7.
Boedecker-Lips, Simone Cosima, Daniel Kraus, Thomas Schreiner, et al.. (2023). Efficient removal of antibodies to adeno‐associated viruses by immunoadsorption. Journal of Clinical Apheresis. 38(5). 590–601. 3 indexed citations
8.
Boedecker-Lips, Simone Cosima, Anja Lautem, Stefan Runkel, et al.. (2022). Six-Month Follow-Up after Vaccination with BNT162b2: SARS-CoV-2 Antigen-Specific Cellular and Humoral Immune Responses in Hemodialysis Patients and Kidney Transplant Recipients. Pathogens. 11(1). 67–67. 11 indexed citations
9.
10.
Keller, Till, Christoph Wanner, Vera Krane, et al.. (2018). Prognostic Value of High-Sensitivity Versus Conventional Cardiac Troponin T Assays Among Patients With Type 2 Diabetes Mellitus Undergoing Maintenance Hemodialysis. American Journal of Kidney Diseases. 71(6). 822–830. 16 indexed citations
11.
Kraus, Daniel, et al.. (2017). Gp41, a superfamily SF2 helicase from bacteriophage BFK20. Virus Research. 245. 7–16. 2 indexed citations
12.
Kraus, Daniel, Stergios Tzikas, Tanja Zeller, et al.. (2017). Urinary neutrophil gelatinase-associated lipocalin and cystatin C compared to the estimated glomerular filtration rate to predict risk in patients with suspected acute myocardial infarction. International Journal of Cardiology. 245. 6–12. 1 indexed citations
13.
Kraus, Daniel, Qin Yang, & Barbara B. Kahn. (2015). Lipid Extraction from Mouse Feces. BIO-PROTOCOL. 5(1). 76 indexed citations
14.
Kraus, Daniel, Qin Yang, Dong Kong, et al.. (2014). Nicotinamide N-methyltransferase knockdown protects against diet-induced obesity. Nature. 508(7495). 258–262. 365 indexed citations
15.
Rattray, Benjamin, et al.. (2014). Antenatal magnesium sulfate and spontaneous intestinal perforation in infants less than 25 weeks gestation. Journal of Perinatology. 34(11). 819–822. 35 indexed citations
16.
Gunatilake, Ravindu, Benjamin Harris, Daniel Kraus, et al.. (2013). Predictors of failed trial of labor among women with an extremely obese body mass index. American Journal of Obstetrics and Gynecology. 209(6). 562.e1–562.e5. 37 indexed citations
17.
Kraus, Daniel, Liping Feng, R. Phillips Heine, et al.. (2013). Cigarette Smoke-Induced Placental Adrenomedullin Expression and Trophoblast Cell Invasion. Reproductive Sciences. 21(1). 63–71. 10 indexed citations
18.
Klein, Johannes, Daniel Kraus, Britta Meier, et al.. (2004). Metformin inhibits leptin secretion via a mitogen-activated protein kinase signalling pathway in brown adipocytes. Journal of Endocrinology. 183(2). 299–307. 48 indexed citations
19.
Kraus, Daniel, Mathias Faßhauer, V. Ott, et al.. (2002). Leptin secretion and negative autocrine crosstalk with insulin in brown adipocytes. Journal of Endocrinology. 175(1). 185–191. 21 indexed citations
20.
Guillem, François, et al.. (2001). Neuropsychological impairments in the syndromes of schizophrenia: A comparison between different dimensional models. Brain and Cognition. 46(1-2). 153–159. 27 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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