Till D. Best

463 total citations
16 papers, 308 citations indexed

About

Till D. Best is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Geriatrics and Gerontology. According to data from OpenAlex, Till D. Best has authored 16 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Geriatrics and Gerontology. Recurrent topics in Till D. Best's work include Nutrition and Health in Aging (10 papers), Frailty in Older Adults (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Till D. Best is often cited by papers focused on Nutrition and Health in Aging (10 papers), Frailty in Older Adults (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Till D. Best collaborates with scholars based in United States, Germany and Australia. Till D. Best's co-authors include Florian J. Fintelmann, Henning A. Gaissert, Fabian M. Troschel, Ashok Muniappan, Ryan David Nipp, Eric Roeland, Emily E. Van Seventer, Maria Lucia L. Madariaga, Jennifer S. Temel and Christopher P. Bridge and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Surgery and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Till D. Best

16 papers receiving 307 citations

Peers

Till D. Best

PHYSI

PRM

RNMI

ONCOL

Johanna G.M. van den Hoek Netherlands

Anna Damascelli Italy

L. Van den Bosch Netherlands

Henrik Kjölhede Sweden

Simone Famularo Italy

Davide Fior Italy

Michael D. Bastasch United States

Naoki Ozeki Japan

Alexander Emmert Germany

Helen Mossop United Kingdom

Johanna G.M. van den Hoek Netherlands

Till D. Best

139 ×0.9

PHYSI

171 ×1.6

PRM

91 ×1.0

RNMI

37 ×0.5

66 ×1.1

ONCOL

Citations per year, relative to Till D. Best Till D. Best (= 1×) peers Johanna G.M. van den Hoek

Countries citing papers authored by Till D. Best

Since Specialization

Citations

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

Fields of papers citing papers by Till D. Best

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Till D. Best. 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 Till D. Best. The network helps show where Till D. Best may publish in the future.

Co-authorship network of co-authors of Till D. Best

This figure shows the co-authorship network connecting the top 25 collaborators of Till D. Best. A scholar is included among the top collaborators of Till D. Best 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 Till D. Best. Till D. Best 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

Bridge, Christopher P., Till D. Best, Maria Wróbel, et al.. (2022). A Fully Automated Deep Learning Pipeline for Multi–Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans. Radiology Artificial Intelligence. 4(1). e210080–e210080. 27 indexed citations

Nipp, Ryan David, Till D. Best, Emily E. Van Seventer, et al.. (2022). Associations of sarcopenia with hematologic toxicity, treatment intensity, and healthcare utilization in patients with metastatic colorectal cancer.. Journal of Clinical Oncology. 40(4_suppl). 84–84. 1 indexed citations

Best, Till D., Eric Roeland, Nora Horick, et al.. (2021). Muscle Loss Is Associated with Overall Survival in Patients with Metastatic Colorectal Cancer Independent of Tumor Mutational Status and Weight Loss. The Oncologist. 26(6). e963–e970. 18 indexed citations

Goiffon, Reece, Till D. Best, Maria Wróbel, et al.. (2021). Reducing Time and Patient Radiation of Computed Tomography–guided Thoracic Needle Biopsies With Single-rotation Axial Acquisitions. Journal of Thoracic Imaging. 36(6). 389–396. 9 indexed citations

Troschel, Fabian M., Florian Eichhorn, Thomas Muley, et al.. (2021). Sarcopenia on preoperative chest computed tomography predicts cancer‐specific and all‐cause mortality following pneumonectomy for lung cancer: A multicenter analysis. Cancer Medicine. 10(19). 6677–6686. 24 indexed citations

Roeland, Eric, Emily E. Van Seventer, Till D. Best, et al.. (2021). Percentile‐based averaging and skeletal muscle gauge improve body composition analysis: validation at multiple vertebral levels. Journal of Cachexia Sarcopenia and Muscle. 13(1). 190–202. 21 indexed citations

Best, Till D., Nora Horick, Richard Newcomb, et al.. (2021). Associations of Skeletal Muscle With Symptom Burden and Clinical Outcomes in Hospitalized Patients With Advanced Cancer. Journal of the National Comprehensive Cancer Network. 19(3). 319–327. 11 indexed citations

Seventer, Emily E. Van, Till D. Best, Nora Horick, et al.. (2020). Relationships among skeletal muscle, symptom burden, health care use, and survival in hospitalized patients with advanced cancer.. Journal of Clinical Oncology. 38(15_suppl). 7006–7006. 1 indexed citations

Best, Till D., Sarah Mercaldo, Darren S. Bryan, et al.. (2020). Multilevel Body Composition Analysis on Chest Computed Tomography Predicts Hospital Length of Stay and Complications After Lobectomy for Lung Cancer. Annals of Surgery. 275(5). e708–e715. 24 indexed citations

10.

Udelsman, Brooks V., Monica Soni, Maria Lucia L. Madariaga, et al.. (2019). Incidence, aetiology and outcomes of major postoperative haemorrhage after pulmonary lobectomy. European Journal of Cardio-Thoracic Surgery. 57(3). 462–470. 9 indexed citations

11.

Fintelmann, Florian J., Ambrose J. Huang, Till D. Best, et al.. (2019). Percutaneous Cryoablation: Safety and Efficacy for Pain Palliation of Metastases to Pleura and Chest Wall. Journal of Vascular and Interventional Radiology. 31(2). 294–300. 20 indexed citations

12.

Li, Yanjing, Michael Dykstra, Till D. Best, et al.. (2019). Differential inflammatory response dynamics in normal lung following stereotactic body radiation therapy with protons versus photons. Radiotherapy and Oncology. 136. 169–175. 16 indexed citations

13.

Madariaga, Maria Lucia L., et al.. (2019). Low Thoracic Skeletal Muscle Area Predicts Morbidity After Pneumonectomy for Lung Cancer. The Annals of Thoracic Surgery. 109(3). 907–913. 31 indexed citations

14.

Madariaga, Maria Lucia L., Inga T. Lennes, Till D. Best, et al.. (2019). Multidisciplinary selection of pulmonary nodules for surgical resection: Diagnostic results and long-term outcomes. Journal of Thoracic and Cardiovascular Surgery. 159(4). 1558–1566.e3. 26 indexed citations

15.

Troschel, Fabian M., Till D. Best, Henning A. Gaissert, et al.. (2019). Computed Tomography–based Body Composition Analysis and Its Role in Lung Cancer Care. Journal of Thoracic Imaging. 35(2). 91–100. 50 indexed citations

16.

Troschel, Fabian M., et al.. (2018). Preoperative thoracic muscle area on computed tomography predicts long-term survival following pneumonectomy for lung cancer. Interactive Cardiovascular and Thoracic Surgery. 28(4). 542–549. 20 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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