Marion Faigle
Impact in
- Physiology top 0.2%
- Adenosine and Purinergic Signaling
- Endocrinology top 1%
- Legionella and Acanthamoeba research
Papers in
-
- Legionella and Acanthamoeba research 18
- Immunology 16
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 13
- Immune Response and Inflammation 5
- Immunotherapy and Immune Responses 2
- Co-authors
- Holger K. Eltzschig (10 shared papers)Birgid Neumeister (22 shared papers)Sean P. Colgan (3 shared papers)Tobias Eckle (3 shared papers)Almut Grenz (2 shared papers)Linda F. Thompson (2 shared papers)Tianqing Kong (1 shared paper)Karen A. Westerman (1 shared paper)
- Journals
- Blood (3 papers)Infection and Immunity (2 papers)Microbiology (2 papers)Circulation (2 papers)Journal of Bacteriology (2 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Marion Faigle
33 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 96
- Physiology 675
- Endocrinology 371
- Endocrine and Autonomic Systems 142
- Immunology 425
- Microbiology 100
Countries citing papers authored by Marion Faigle
This map shows the geographic impact of Marion Faigle'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 Marion Faigle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Faigle more than expected).
Fields of papers citing papers by Marion Faigle
This network shows the impact of papers produced by Marion Faigle. 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 Marion Faigle. The network helps show where Marion Faigle may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Faigle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 296 | |
| 2 | 2007 | 267 | |
| 3 | 2002 | 208 | |
| 4 | 2007 | 193 | |
| 5 | 2008 | 168 | |
| 6 | 2006 | 155 | |
| 7 | 2008 | 116 | |
| 8 | 2010 | 104 | |
| 9 | 2000 | 98 | |
| 10 | 1997 | 75 | |
| 11 | 1998 | 65 | |
| 12 | 2012 | 65 | |
| 13 | 2011 | 54 | |
| 14 | 2001 | 52 | |
| 15 | 2007 | 40 | |
| 16 | 2000 | 39 | |
| 17 | 2000 | 38 | |
| 18 | 2002 | 33 | |
| 19 | 2000 | 31 | |
| 20 | 2000 | 30 |
About Marion Faigle
Marion Faigle is a scholar working on Endocrinology, Immunology, Molecular Biology, Physiology and Physiology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (18 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Adenosine and Purinergic Signaling (5 papers), Immune Response and Inflammation (5 papers), Nitric Oxide and Endothelin Effects (3 papers), Neonatal Health and Biochemistry (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Physiology (675 citations), Endocrinology (371 citations), Endocrine and Autonomic Systems (142 citations), Immunology (425 citations) and Microbiology (100 citations). Marion Faigle has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Holger K. Eltzschig, Birgid Neumeister, Sean P. Colgan, Tobias Eckle, Almut Grenz, Linda F. Thompson, Tianqing Kong, Karen A. Westerman, Hinnak Northoff and Peter Rosenberger. Their work appears in journals such as Blood, Infection and Immunity, Microbiology, Circulation and Journal of Bacteriology.
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.