Fred M. Baik

1.0k total citations
47 papers, 631 citations indexed

About

Fred M. Baik is a scholar working on Surgery, Otorhinolaryngology and Oncology. According to data from OpenAlex, Fred M. Baik has authored 47 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 17 papers in Otorhinolaryngology and 14 papers in Oncology. Recurrent topics in Fred M. Baik's work include Head and Neck Cancer Studies (14 papers), Salivary Gland Tumors Diagnosis and Treatment (9 papers) and Head and Neck Surgical Oncology (8 papers). Fred M. Baik is often cited by papers focused on Head and Neck Cancer Studies (14 papers), Salivary Gland Tumors Diagnosis and Treatment (9 papers) and Head and Neck Surgical Oncology (8 papers). Fred M. Baik collaborates with scholars based in United States, Australia and Japan. Fred M. Baik's co-authors include Eben L. Rosenthal, Quyen T. Nguyen, Stan van Keulen, Haiying Li, Laurie E. Kilpatrick, Shuang Sun, Helen M. Korchak, Naoki Nishio, Y.-J. Lee and Nynke S. van den Berg and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Journal of Leukocyte Biology.

In The Last Decade

Fred M. Baik

44 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred M. Baik United States 15 218 145 136 132 124 47 631
Hsin‐Ming Chen Taiwan 16 129 0.6× 198 1.4× 107 0.8× 87 0.7× 91 0.7× 26 830
Hiroaki Shimamoto Japan 15 169 0.8× 76 0.5× 75 0.6× 118 0.9× 183 1.5× 78 617
Yuichiro Matsuoka Japan 18 247 1.1× 159 1.1× 91 0.7× 111 0.8× 256 2.1× 74 960
Jelena Mirković United States 20 220 1.0× 118 0.8× 274 2.0× 52 0.4× 102 0.8× 45 1.1k
Junkichi Yokoyama Japan 14 371 1.7× 80 0.6× 177 1.3× 332 2.5× 358 2.9× 70 828
Mauricio A. Moreno United States 15 541 2.5× 60 0.4× 135 1.0× 142 1.1× 287 2.3× 57 940
Hsin‐Ming Chen Taiwan 17 132 0.6× 56 0.4× 179 1.3× 106 0.8× 63 0.5× 27 742
Nancy Lee United States 12 180 0.8× 46 0.3× 359 2.6× 180 1.4× 126 1.0× 18 786
Dennis Borochovitz United States 15 276 1.3× 86 0.6× 210 1.5× 254 1.9× 272 2.2× 29 934

Countries citing papers authored by Fred M. Baik

Since Specialization
Citations

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

Fields of papers citing papers by Fred M. Baik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred M. Baik. 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 Fred M. Baik. The network helps show where Fred M. Baik may publish in the future.

Co-authorship network of co-authors of Fred M. Baik

This figure shows the co-authorship network connecting the top 25 collaborators of Fred M. Baik. A scholar is included among the top collaborators of Fred M. Baik 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 Fred M. Baik. Fred M. Baik 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.
Omiye, Jesutofunmi A., et al.. (2025). Automated Detection of Benign and Malignant Skin Lesions from Reflectance Confocal Microscopy Images Using Deep Learning. JID Innovations. 5(6). 100404–100404.
2.
Duan, Heying, Dawn Holley, Benjamin L. Franc, et al.. (2025). Localization of sentinel lymph nodes using augmented-reality system: a cadaveric feasibility study. European Journal of Nuclear Medicine and Molecular Imaging. 52(10). 3643–3652.
3.
Martinez, Marina C., Andrey Finegersh, Fred M. Baik, et al.. (2024). Comorbid Depression in Patients With Head and Neck Cancer Compared With Other Cancers. JAMA Otolaryngology–Head & Neck Surgery. 150(12). 1097–1097. 2 indexed citations
4.
Sunwoo, John B., et al.. (2024). Validation of the Melanoma Institute of Australia’s Sentinel Lymph Node Biopsy Risk Prediction Tool for Cutaneous Melanoma. Annals of Surgical Oncology. 31(4). 2737–2746. 4 indexed citations
5.
Sunwoo, John B., et al.. (2024). ASO Visual Abstract: Validation of the Melanoma Institute of Australia’s Sentinel Lymph Node Biopsy Risk Prediction Tool for Cutaneous Melanoma. Annals of Surgical Oncology. 31(4). 2751–2752. 1 indexed citations
7.
Colazo, Juan M., Fred M. Baik, James S. Lewis, et al.. (2023). Augmented-Reality Surgery to Guide Head and Neck Cancer Re-resection: A Feasibility and Accuracy Study. Annals of Surgical Oncology. 30(8). 4994–5000. 16 indexed citations
8.
Chang, Marcello, et al.. (2023). Virtual Resection Specimen Interaction Using Augmented Reality Holograms to Guide Margin Communication and Flap Sizing. Otolaryngology. 169(4). 1083–1085. 7 indexed citations
9.
Lee, Y.-J., Nynke S. van den Berg, Heying Duan, et al.. (2022). 89Zr-panitumumab Combined With 18F-FDG PET Improves Detection and Staging of Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 28(20). 4425–4434. 10 indexed citations
10.
Berg, Nynke S. van den, Naoki Nishio, Laura E. Beane Freeman, et al.. (2022). Fluorescent Molecular Imaging Can Improve Intraoperative Sentinel Margin Detection in Oral Squamous Cell Carcinoma. Journal of Nuclear Medicine. 63(8). 1162–1168. 23 indexed citations
11.
Lee, Y.-J., Nancy J. Fischbein, Uchechukwu C. Megwalu, et al.. (2020). Radiographic surveillance of abdominal free fat graft in complex parotid pleomorphic adenomas: A case series. Heliyon. 6(5). e03894–e03894. 3 indexed citations
12.
Fakurnejad, Shayan, Stan van Keulen, Naoki Nishio, et al.. (2020). Intraoperative Molecular Imaging for ex vivo Assessment of Peripheral Margins in Oral Squamous Cell Carcinoma. Frontiers in Oncology. 9. 1476–1476. 31 indexed citations
13.
Sims, John R., Fred M. Baik, Daniel Buchbinder, et al.. (2019). Reconstructive and prosthodontic outcomes after multiple palatomaxillary reconstructions. The Laryngoscope. 130(10). 2349–2353. 1 indexed citations
14.
Liu, Xulei, Tulika Singh, Fred M. Baik, et al.. (2019). Ten patients with high-grade transformation of acinic cell carcinomas. Pathology - Research and Practice. 216(2). 152767–152767. 9 indexed citations
15.
Baik, Fred M., et al.. (2018). A rare primary leiomyosarcoma of the parotid gland: A case report and literature review. American Journal of Otolaryngology. 39(3). 345–348. 3 indexed citations
16.
Baik, Fred M., et al.. (2018). Septic arthritis of the sternoclavicular joint: A unique late complication after tracheostomy. American Journal of Otolaryngology. 39(5). 646–648. 4 indexed citations
17.
Baik, Fred M., et al.. (2018). Osteoradionecrosis of the hyoid bone complicated by pharyngocutaneous fistula: A case report and literature review. American Journal of Otolaryngology. 40(2). 314–318. 2 indexed citations
18.
Hua, Ning, Fred M. Baik, Tuan Anh Pham, et al.. (2015). Identification of High-Risk Plaques by MRI and Fluorescence Imaging in a Rabbit Model of Atherothrombosis. PLoS ONE. 10(10). e0139833–e0139833. 14 indexed citations
19.
Baik, Fred M., Linda Nguyen, Joni K. Doherty, et al.. (2011). Comparative Case Series of Exostoses and Osteomas of the Internal Auditory Canal. Annals of Otology Rhinology & Laryngology. 120(4). 255–260. 17 indexed citations
20.
Baik, Fred M., et al.. (2011). Inverting Papilloma of the Temporal Bone. Otology & Neurotology. 32(7). 1124–1133. 32 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026