Lauren Tufts

428 total citations
9 papers, 303 citations indexed

About

Lauren Tufts is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Lauren Tufts has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Lauren Tufts's work include Knee injuries and reconstruction techniques (3 papers), Total Knee Arthroplasty Outcomes (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Lauren Tufts is often cited by papers focused on Knee injuries and reconstruction techniques (3 papers), Total Knee Arthroplasty Outcomes (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). Lauren Tufts collaborates with scholars based in United States and Japan. Lauren Tufts's co-authors include Martin R. Weiser, Rosa M. Jiménez-Rodríguez, Tsuyoshi Konishi, Yoshifumi Shimada, Garrett M. Nash, José G. Guillem, Mithat Gönen, Meier Hsu, J. Joshua Smith and Julio García‐Aguilar and has published in prestigious journals such as Journal of Clinical Oncology, Bone and Journal of Orthopaedic Research®.

In The Last Decade

Lauren Tufts

9 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren Tufts United States 6 146 129 70 68 36 9 303
Melissa Pirolli United States 5 118 0.8× 231 1.8× 99 1.4× 41 0.6× 11 0.3× 16 365
Ryo Miura Japan 12 148 1.0× 102 0.8× 56 0.8× 15 0.2× 22 0.6× 53 372
Wanlim Kim South Korea 11 102 0.7× 102 0.8× 155 2.2× 12 0.2× 12 0.3× 41 313
Eleonora Moscaritolo Italy 5 31 0.2× 92 0.7× 61 0.9× 75 1.1× 12 0.3× 6 289
John M. Monchik United States 9 226 1.5× 92 0.7× 79 1.1× 12 0.2× 11 0.3× 10 421
Robert Marx United States 6 50 0.3× 108 0.8× 45 0.6× 89 1.3× 7 0.2× 19 312
K Jordan United States 4 98 0.7× 30 0.2× 29 0.4× 94 1.4× 24 0.7× 13 352
Takanao Aoki Japan 5 54 0.4× 90 0.7× 77 1.1× 81 1.2× 5 0.1× 7 345
G. Coombes United Kingdom 5 65 0.4× 289 2.2× 26 0.4× 293 4.3× 8 0.2× 6 394
Avraam Avramidis Greece 9 139 1.0× 192 1.5× 20 0.3× 190 2.8× 6 0.2× 12 463

Countries citing papers authored by Lauren Tufts

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Tufts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Tufts

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

All Works

9 of 9 papers shown
2.
Chen, Chin‐Tung, et al.. (2019). Detection of methylated BCAT1 and IKZF1 in stage II/III rectal cancer receiving chemoradiation.. Journal of Clinical Oncology. 37(4_suppl). 602–602. 3 indexed citations
3.
Tufts, Lauren, Jessica Flynn, Mithat Gönen, et al.. (2018). A perioperative multidisciplinary care bundle reduces surgical site infections in patients undergoing synchronous colorectal and liver resection. HPB. 21(2). 181–186. 7 indexed citations
4.
Teng, Hsiang‐Ling, Lauren Tufts, Daniel S. Wu, et al.. (2017). Biomechanical Factors Associated With Pain and Symptoms Following Anterior Cruciate Ligament Injury and Reconstruction. PM&R. 10(1). 56–63. 13 indexed citations
5.
Konishi, Tsuyoshi, Yoshifumi Shimada, Meier Hsu, et al.. (2017). Association of Preoperative and Postoperative Serum Carcinoembryonic Antigen and Colon Cancer Outcome. JAMA Oncology. 4(3). 309–309. 159 indexed citations
6.
Schafer, Anne L., Ann V. Schwartz, Lauren Tufts, et al.. (2015). Changes in vertebral bone marrow fat and bone mass after gastric bypass surgery: A pilot study. Bone. 74. 140–145. 52 indexed citations
7.
Tufts, Lauren, Keerthi Shet, Fei Liang, Sharmila Majumdar, & Xiaojuan Li. (2015). Quantification of bone marrow water and lipid composition in anterior cruciate ligament-injured and osteoarthritic knees using three-dimensional magnetic resonance spectroscopic imaging. Magnetic Resonance Imaging. 34(5). 632–637. 15 indexed citations
8.
Tufts, Lauren, et al.. (2015). Correlating high‐resolution magic angle spinning NMR spectroscopy and gene analysis in osteoarthritic cartilage. NMR in Biomedicine. 28(5). 523–528. 4 indexed citations
9.
Zaid, Musa, Drew A. Lansdown, Favian Su, et al.. (2015). Abnormal tibial position is correlated to early degenerative changes one year following ACL reconstruction. Journal of Orthopaedic Research®. 33(7). 1079–1086. 49 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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