Babett Bartling

62 papers receiving 2.0k citations

Peers

Babett Bartling
Comparison fields: 5 of 113
  • Clinical Biochemistry 431
  • Aging 40
  • Pathology and Forensic Medicine 202
  • Physiology 294
  • Molecular Biology 799
Replace Dieter A. Kubli with:
Dieter A. Kubli United States
Afshan N. Malik United Kingdom
Saranya Ravi United States
Sarah X. Zhang United States
Eri Iwai‐Kanai Japan
Ayman W. El‐Hattab United Arab Emirates
Zully Pedrozo Chile
Boél De Paepe Belgium
Joshua J. Wang United States
Fatima Djouadi France
Babett Bartling relative to Dieter A. Kubli United States Dieter A. Kubli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Babett Bartling

Since Specialization
Citations

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

Fields of papers citing papers by Babett Bartling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004135
2 1999132
3 2000131
4 2007120
5 2008106
6 2005103
7 200295
8 200272
9 201663
10 200361
11 199859
12 200755
13 200052
14 200549
15 201446
16 200845
17 199942
18 200437
19 200036
20 200833

About Babett Bartling

Babett Bartling is a scholar working on Molecular Biology, Clinical Biochemistry, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (22 papers), Cell death mechanisms and regulation (7 papers), Cardiac Ischemia and Reperfusion (7 papers), Alcohol Consumption and Health Effects (6 papers), S100 Proteins and Annexins (5 papers), Neonatal Respiratory Health Research (5 papers), Telomeres, Telomerase, and Senescence (4 papers) and Natural Antidiabetic Agents Studies (4 papers). The work is most often cited by research in Clinical Biochemistry (431 citations), Aging (40 citations), Pathology and Forensic Medicine (202 citations), Physiology (294 citations) and Molecular Biology (799 citations). Babett Bartling has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas Simm, Rolf‐Edgar Silber, Hans‐Stefan Hofmann, Dorothea Darmer, Juergen Holtz, Norbert Naß, Henning Morawietz, Robert Scheubel, Gesine Hansen and Stefan Burdach. Their work appears in journals such as Experimental Gerontology, Circulation, The Thoracic and Cardiovascular Surgeon, International Journal of Molecular Medicine and Carcinogenesis.

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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