Tan-Lucien H. Mohammed

1.3k total citations
41 papers, 879 citations indexed

About

Tan-Lucien H. Mohammed is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Tan-Lucien H. Mohammed has authored 41 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 14 papers in Surgery and 9 papers in Epidemiology. Recurrent topics in Tan-Lucien H. Mohammed's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Medical Imaging and Pathology Studies (7 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Tan-Lucien H. Mohammed is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Medical Imaging and Pathology Studies (7 papers) and Pulmonary Hypertension Research and Treatments (4 papers). Tan-Lucien H. Mohammed collaborates with scholars based in United States, Saudi Arabia and Canada. Tan-Lucien H. Mohammed's co-authors include Jeffrey R. Galvin, Aletta Ann Frazier, Teri J. Franks, Jacobo Kirsch, Jeffrey P. Kanne, İrem Hicran Özbudak, Cristopher A. Meyer, Ruchi Yadav, Donald R. Yandow and Nidhi Sharma and has published in prestigious journals such as CHEST Journal, American Journal of Roentgenology and Radiographics.

In The Last Decade

Tan-Lucien H. Mohammed

41 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tan-Lucien H. Mohammed United States 16 500 239 198 156 134 41 879
P Mogle Israel 16 375 0.8× 409 1.7× 77 0.4× 80 0.5× 17 0.1× 49 819
Chau‐Hsiung Chang Taiwan 22 633 1.3× 764 3.2× 321 1.6× 69 0.4× 323 2.4× 63 1.3k
Mohammed Munavvar United Kingdom 16 1.3k 2.6× 283 1.2× 77 0.4× 95 0.6× 35 0.3× 51 1.5k
Richard J. Thurer United States 23 670 1.3× 494 2.1× 169 0.9× 163 1.0× 633 4.7× 65 1.5k
James B.D. Mark United States 21 855 1.7× 579 2.4× 173 0.9× 99 0.6× 80 0.6× 75 1.4k
Kate Cross United Kingdom 21 494 1.0× 1.1k 4.7× 53 0.3× 104 0.7× 26 0.2× 72 1.4k
Luc Delaunois Belgium 20 1.1k 2.1× 195 0.8× 187 0.9× 112 0.7× 66 0.5× 69 1.7k
Stephen J. Herman Canada 21 727 1.5× 371 1.6× 150 0.8× 229 1.5× 36 0.3× 49 1.2k
John F. Beamis United States 19 989 2.0× 382 1.6× 105 0.5× 108 0.7× 58 0.4× 50 1.2k
Suat Eren Türkiye 14 302 0.6× 648 2.7× 71 0.4× 118 0.8× 62 0.5× 78 906

Countries citing papers authored by Tan-Lucien H. Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Tan-Lucien H. Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan-Lucien H. Mohammed. 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 Tan-Lucien H. Mohammed. The network helps show where Tan-Lucien H. Mohammed may publish in the future.

Co-authorship network of co-authors of Tan-Lucien H. Mohammed

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

All Works

20 of 20 papers shown
1.
Beache, Garth M., Tan-Lucien H. Mohammed, Lynne Koweek, et al.. (2020). ACR Appropriateness Criteria® Acute Nonspecific Chest Pain-Low Probability of Coronary Artery Disease. Journal of the American College of Radiology. 17(11). S346–S354. 5 indexed citations
2.
Jokerst, Clinton, Arlene Sirajuddin, & Tan-Lucien H. Mohammed. (2016). Imaging the Complications of Lung Transplantation. Radiologic Clinics of North America. 54(2). 355–373. 5 indexed citations
3.
Saeedan, Mnahi Bin, et al.. (2015). Hermansky-Pudlak Syndrome: High-Resolution Computed Tomography Findings and Literature Review. Current Problems in Diagnostic Radiology. 44(4). 383–385. 2 indexed citations
4.
Ravenel, James G., Kenneth E. Rosenzweig, Jacobo Kirsch, et al.. (2014). ACR Appropriateness Criteria Non-invasive Clinical Staging of Bronchogenic Carcinoma. Journal of the American College of Radiology. 11(9). 849–856. 12 indexed citations
5.
Pirasteh, Ali, et al.. (2014). Pentalogy of Cantrell with Ectopia Cordis: CT Findings. Journal of Radiology Case Reports. 8(12). 29–34. 7 indexed citations
6.
Guinee, Donald G., et al.. (2014). Case of the Season: Usual Interstitial Pneumonia With Dendriform Pulmonary Ossification. Seminars in Roentgenology. 50(1). 4–7. 8 indexed citations
7.
Mohammed, Tan-Lucien H., et al.. (2014). Eponyms in Cardiothoracic Radiology—Part II: Vascular. Current Problems in Diagnostic Radiology. 43(4). 219–226. 4 indexed citations
8.
Verma, Nupur, Jonathan H. Chung, & Tan-Lucien H. Mohammed. (2012). “Tree-in-Bud Sign”. Journal of Thoracic Imaging. 27(2). W27–W27. 11 indexed citations
9.
Chiunda, Allan & Tan-Lucien H. Mohammed. (2012). Knowledge of ACR Thoracic Imaging Appropriateness Criteria® among Trainees. Academic Radiology. 19(5). 635–639. 18 indexed citations
10.
Kirsch, Jacobo, et al.. (2011). Detection of coronary calcium during standard chest computed tomography correlates with multi-detector computed tomography coronary artery calcium score. International journal of cardiac imaging. 28(5). 1249–1256. 72 indexed citations
11.
Ataya, Dana, et al.. (2010). Epipericardial Fat Pad Necrosis. Journal of Thoracic Imaging. 26(4). W140–W142. 14 indexed citations
12.
Sharma, Nidhi, et al.. (2010). Chronic Beryllium Disease. Journal of Computer Assisted Tomography. 34(6). 945–948. 18 indexed citations
13.
Kirsch, Jacobo, et al.. (2009). Methylmethacrylate Pulmonary Emboli: Radiographic and Computed Tomographic Findings. Journal of Thoracic Imaging. 24(3). 241–247. 7 indexed citations
14.
Mohammed, Tan-Lucien H., et al.. (2009). When and how to image a suspected broken rib. Cleveland Clinic Journal of Medicine. 76(5). 309–314. 23 indexed citations
15.
Sharma, Nidhi, et al.. (2009). Vanishing Lung Syndrome (Giant Bullous Emphysema): CT Findings in 7 Patients and a Literature Review. Journal of Thoracic Imaging. 24(3). 227–230. 54 indexed citations
16.
Mohammed, Tan-Lucien H., et al.. (2009). Pseudallescheria boydii (Scedosporium species) in 3 Lung Transplant Recipients. Journal of Computer Assisted Tomography. 33(2). 247–252. 18 indexed citations
17.
Mohammed, Tan-Lucien H., et al.. (2007). Fibrosing mediastinitis associated with Behçet's disease: CT findings. Clinical Radiology. 62(11). 1124–1126. 9 indexed citations
18.
Farver, Carol, et al.. (2007). Pulmonary Capillary Hemangiomatosis Imaging Findings and Literature Update. Journal of Computer Assisted Tomography. 31(4). 608–610. 21 indexed citations
19.
Mohammed, Tan-Lucien H., Charles S. White, & Robert D. Pugatch. (2005). The imaging manifestations of lung cancer. Seminars in Roentgenology. 40(2). 98–108. 4 indexed citations
20.
Mohammed, Tan-Lucien H., et al.. (2005). CT of Uhl’s Anomaly in an Adult. International journal of cardiac imaging. 21(6). 663–666. 11 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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