Tilman Koelsch

563 total citations
16 papers, 300 citations indexed

About

Tilman Koelsch is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Physiology. According to data from OpenAlex, Tilman Koelsch has authored 16 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 4 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Tilman Koelsch's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), Occupational and environmental lung diseases (4 papers) and Medical Imaging and Pathology Studies (3 papers). Tilman Koelsch is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), Occupational and environmental lung diseases (4 papers) and Medical Imaging and Pathology Studies (3 papers). Tilman Koelsch collaborates with scholars based in United States, Italy and China. Tilman Koelsch's co-authors include Evans R. Fernández Pérez, David A. Lynch, Ashley L. Cole, Amanda M. Kong, Karina Raimundo, Jonathan H. Chung, John C. Richards, Kevin K. Brown, Xi Zhan and Gloria Russell and has published in prestigious journals such as European Respiratory Journal, Thorax and American Journal of Roentgenology.

In The Last Decade

Tilman Koelsch

16 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tilman Koelsch United States	9	274	91	81	24	21	16	300
Mohamed Sayyouh United States	9	230 0.8×	74 0.8×	81 1.0×	27 1.1×	29 1.4×	13	288
S. Feuillet France	6	211 0.8×	19 0.2×	133 1.6×	62 2.6×	16 0.8×	17	280
Camilla Celani Italy	10	36 0.1×	110 1.2×	53 0.7×	9 0.4×	16 0.8×	18	239
Iain R. Konigsberg United States	6	93 0.3×	19 0.2×	50 0.6×	12 0.5×	6 0.3×	16	155
Montse Janssen Bonás Netherlands	4	92 0.3×	11 0.1×	130 1.6×	37 1.5×	20 1.0×	7	207
Kota Murohashi Japan	8	112 0.4×	11 0.1×	29 0.4×	15 0.6×	16 0.8×	29	172
Christine Orzechowski France	4	76 0.3×	17 0.2×	12 0.1×	9 0.4×	39 1.9×	5	151
Nicole Garcia United States	9	79 0.3×	15 0.2×	48 0.6×	77 3.2×	15 0.7×	26	220
Renata De Zotti Italy	7	181 0.7×	100 1.1×	14 0.2×	5 0.2×	3 0.1×	10	281
Mohamad-Reza Dana United States	8	42 0.2×	55 0.6×	75 0.9×	19 0.8×	14 0.7×	10	340

Countries citing papers authored by Tilman Koelsch

Since Specialization

Citations

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

Fields of papers citing papers by Tilman Koelsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilman Koelsch

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

All Works

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16 of 16 papers shown

Chaudhary, Sachin, Tilman Koelsch, Matthew Koslow, et al.. (2025). Development and validation of a clinical, CT, genomic classifier and BAL scoring system for diagnosing idiopathic pulmonary fibrosis. European Respiratory Journal. 65(3). 2401077–2401077. 1 indexed citations

Catanzaro, Jason, Rosane Duarte Achcar, Carlyne D. Cool, et al.. (2024). Approach to diagnosing and managing granulomatous-lymphocytic interstitial lung disease. EClinicalMedicine. 75. 102749–102749. 1 indexed citations

Oh, Andrea, David A. Lynch, Jeffrey J. Swigris, et al.. (2023). Deep Learning–Based Fibrosis Extent on Computed Tomography Predicts Outcome of Fibrosing Interstitial Lung Disease Independent of Visually Assessed Computed Tomography Pattern. Annals of the American Thoracic Society. 21(2). 218–227. 21 indexed citations

Pérez, Evans R. Fernández, James Crooks, David A. Lynch, et al.. (2023). Pirfenidone in fibrotic hypersensitivity pneumonitis: a double-blind, randomised clinical trial of efficacy and safety. Thorax. 78(11). 1097–1104. 20 indexed citations

Rose, Cecile S., L. Zell-Baran, Carlyne Cool, et al.. (2023). Findings on High Resolution Computed Tomography in Symptomatic Veterans with Deployment-Related Lung Disease. Journal of Thoracic Imaging. 38(6). 325–332. 1 indexed citations

Schenkel, Alan R., John D. Mitchell, Carlyne D. Cool, et al.. (2022). Characterization of Immune Cells From the Lungs of Patients With Chronic Non-Tuberculous Mycobacteria or Pseudomonas aeruginosa Infection. Immune Network. 22(3). e27–e27. 3 indexed citations

Pérez, Evans R. Fernández, Laura Harmacek, Brian P. O’Connor, et al.. (2021). Prognostic accuracy of a peripheral blood transcriptome signature in chronic hypersensitivity pneumonitis. Thorax. 77(1). 86–90. 4 indexed citations

Pérez, Evans R. Fernández, Tilman Koelsch, Paolo Maria Leone, et al.. (2020). Clinical Decision-Making in Hypersensitivity Pneumonitis: Diagnosis and Management. Seminars in Respiratory and Critical Care Medicine. 41(2). 214–228. 10 indexed citations

Escalon, Joanna G., John C. Richards, Tilman Koelsch, Gregory P. Downey, & David A. Lynch. (2019). Isolated Cystic Lung Disease: An Algorithmic Approach to Distinguishing Birt-Hogg-Dubé Syndrome, Lymphangioleiomyomatosis, and Lymphocytic Interstitial Pneumonia. American Journal of Roentgenology. 212(6). 1260–1264. 23 indexed citations

10.

Hogan, Patricia E., Tilman Koelsch, Charles L. Daley, & Shannon Kasperbauer. (2018). A Woman with a 15-Year History of Bronchiectasis and Recurrent Nontuberculous Mycobacterium Pulmonary Disease. Annals of the American Thoracic Society. 15(3). 380–382. 1 indexed citations

11.

Zhan, Xi, Tilman Koelsch, Steven M. Montner, et al.. (2018). Differentiating Usual Interstitial Pneumonia From Nonspecific Interstitial Pneumonia Using High-resolution Computed Tomography. Journal of Thoracic Imaging. 33(4). 266–270. 10 indexed citations

12.

Pérez, Evans R. Fernández, et al.. (2017). Epidemiology of Hypersensitivity Pneumonitis among an Insured Population in the United States: A Claims-based Cohort Analysis. Annals of the American Thoracic Society. 15(4). 460–469. 123 indexed citations

13.

Chung, Jonathan H., Xi Zhan, Mengshu Cao, et al.. (2017). Presence of Air Trapping and Mosaic Attenuation on Chest Computed Tomography Predicts Survival in Chronic Hypersensitivity Pneumonitis. Annals of the American Thoracic Society. 14(10). 1533–1538. 53 indexed citations

14.

Chung, Jonathan H., John C. Richards, Tilman Koelsch, Heber MacMahon, & David A. Lynch. (2017). Screening for Lung Cancer: Incidental Pulmonary Parenchymal Findings. American Journal of Roentgenology. 210(3). 503–513. 18 indexed citations

15.

Richards, John C., David A. Lynch, Tilman Koelsch, & Debra S. Dyer. (2016). Imaging of Asthma. Immunology and Allergy Clinics of North America. 36(3). 529–545. 10 indexed citations

16.

Koelsch, Tilman, Jonathan H. Chung, & David A. Lynch. (2015). Radiologic Evaluation of Idiopathic Interstitial Pneumonias. Clinics in Chest Medicine. 36(2). 269–282. 1 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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