Martina Gahlemann
- Pulmonary and Respiratory Medicine top 2%
- Pathology and Forensic Medicine top 1%
- Physiology top 5%
- Epidemiology top 10%
- Rheumatology top 5%
- Co-authors
- Oliver DistlerKristin B. HighlandToby M. MaherArata AzumaMargarida AlvesMaureen D. MayesMasataka KuwanaSusanne Stowasser
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (30 papers)Systemic Sclerosis and Related Diseases (30 papers)Medical Imaging and Pathology Studies (10 papers)
- Journals
- New England Journal of MedicineScientific ReportsJournal of Allergy and Clinical Immunology
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Martina Gahlemann
38 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Pulmonary and Respiratory Medicine 1.4k
- Pathology and Forensic Medicine 949
- Physiology 535
- Epidemiology 446
- Rheumatology 175
Countries citing papers authored by Martina Gahlemann
This map shows the geographic impact of Martina Gahlemann'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 Martina Gahlemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Gahlemann more than expected).
Fields of papers citing papers by Martina Gahlemann
This network shows the impact of papers produced by Martina Gahlemann. 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 Martina Gahlemann. The network helps show where Martina Gahlemann may publish in the future.
Co-authorship network of co-authors of Martina Gahlemann
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Gahlemann. A scholar is included among the top collaborators of Martina Gahlemann 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 Martina Gahlemann. Martina Gahlemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 42 | |
| 4 | 24 | |
| 5 | 121 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 49 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 38 | |
| 15 | 1 | |
| 16 | Design of a randomised, placebo-controlled clinical trial of nintedanib in patients with systemic sclerosis-associated interstitial lung disease (SENSCIS™). | 59 |
| 17 | 7 | |
| 18 | 8 | |
| 19 | 6 | |
| 20 | 211 |
About Martina Gahlemann
Martina Gahlemann is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Rheumatology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (30 papers), Systemic Sclerosis and Related Diseases (30 papers) and Medical Imaging and Pathology Studies (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (949 citations), Pulmonary and Respiratory Medicine (1.4k citations) and Physiology (535 citations). Martina Gahlemann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Oliver Distler, Kristin B. Highland, Toby M. Maher, Arata Azuma, Margarida Alves, Maureen D. Mayes, Masataka Kuwana, Susanne Stowasser, Ganesh Raghu and Wiebke Sauter. Their work appears in journals such as New England Journal of Medicine, Scientific Reports and Journal of Allergy and Clinical Immunology.
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.