Sara Hoffman

1.1k total citations
20 papers, 560 citations indexed

About

Sara Hoffman is a scholar working on Oncology, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sara Hoffman has authored 20 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Media Technology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sara Hoffman's work include Cancer survivorship and care (6 papers), Engineering Education and Curriculum Development (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Sara Hoffman is often cited by papers focused on Cancer survivorship and care (6 papers), Engineering Education and Curriculum Development (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Sara Hoffman collaborates with scholars based in United States, Austria and Netherlands. Sara Hoffman's co-authors include Gerald S. Zavorsky, C. G. Lis, Pankaj G. Vashi, C. A. Lammersfeld, Digant Gupta, S. Dahlk, James F. Grutsch, J. Burrows, Richard P. McQuellon and Julia M. Cruz and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Clinical Nutrition and Cancer Research.

In The Last Decade

Sara Hoffman

18 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Hoffman United States 7 273 151 91 79 62 20 560
André Petit France 10 300 1.1× 22 0.1× 57 0.6× 16 0.2× 27 0.4× 43 599
Luc Bruyndonckx Belgium 12 105 0.4× 52 0.3× 43 0.5× 7 0.1× 40 0.6× 24 477
Barbara Trutschnigg Canada 10 452 1.7× 213 1.4× 84 0.9× 6 0.1× 109 1.8× 16 679
Christoph Nell Germany 15 146 0.5× 51 0.3× 272 3.0× 20 0.3× 6 0.1× 32 565
Eduardo Mundstock Brazil 10 460 1.7× 10 0.1× 32 0.4× 57 0.7× 61 1.0× 24 596
Nathalie Sami United States 11 309 1.1× 478 3.2× 128 1.4× 4 0.1× 143 2.3× 17 760
Eimo Martens Germany 16 70 0.3× 27 0.2× 52 0.6× 11 0.1× 105 1.7× 60 965
Amitoj Singh United States 12 87 0.3× 57 0.4× 71 0.8× 6 0.1× 28 0.5× 53 731
Hyuk In Yang South Korea 11 190 0.7× 80 0.5× 22 0.2× 5 0.1× 46 0.7× 21 485
Sanjay Jain India 12 68 0.2× 94 0.6× 213 2.3× 4 0.1× 69 1.1× 61 561

Countries citing papers authored by Sara Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Sara Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Hoffman. A scholar is included among the top collaborators of Sara Hoffman 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 Sara Hoffman. Sara Hoffman 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
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Agrawal, Nishant, Murray B. Resnick, Sara Hoffman, et al.. (2022). Abstract 471: AIM PD-L1-NSCLC: Artificial intelligence-powered PD-L1 quantification for accurate prediction of tumor proportion score in diverse, multi-stain clinical tissue samples. Cancer Research. 82(12_Supplement). 471–471. 4 indexed citations
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Daly, Shanna, et al.. (2021). “You Could Take 'Social' Out of Engineering and Be Just Fine”: An Exploration of Engineering Students' Beliefs About the Social Aspects of Engineering Work. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 6 indexed citations
6.
Dillon, Laura W., et al.. (2021). Abstract PO-072: Robust deployment of ML models quantifying the H&E tumor microenvironment in NSCLC subjects from an AstraZeneca-sponsored phase II clinical trial. Clinical Cancer Research. 27(5_Supplement). PO–72. 2 indexed citations
7.
Lin, Annie, Laura E. Finch, Tammy K. Stump, Sara Hoffman, & Bonnie Spring. (2019). Cancer Prevention Beliefs and Diet Behaviors Among Females Diagnosed with Obesity-Related Cancers (FS13-06-19). Current Developments in Nutrition. 3. nzz030.FS13–6. 2 indexed citations
8.
Daly, Shanna, et al.. (2018). Assessment of a Novel Learning Block Model for Engineering Design Skill Development: A Case Example for Engineering Design Interviewing. Papers on Engineering Education Repository (American Society for Engineering Education). 3 indexed citations
9.
Zavorsky, Gerald S. & Sara Hoffman. (2008). Pulmonary gas exchange in the morbidly obese. Obesity Reviews. 9(4). 326–339. 90 indexed citations
10.
Danciger, Michael, Sara Hoffman, Janis Lem, et al.. (2004). New retinal light damage QTL in mice with the light-sensitive RPE65 LEU variant. Mammalian Genome. 15(4). 277–283. 23 indexed citations
11.
Gupta, Digant, C. A. Lammersfeld, J. Burrows, et al.. (2004). Bioelectrical impedance phase angle in clinical practice: implications for prognosis in advanced colorectal cancer. American Journal of Clinical Nutrition. 80(6). 1634–1638. 254 indexed citations
12.
Lis, C. G., Digant Gupta, R. D. Levin, et al.. (2004). Quality of life outcomes of advanced colorectal cancer in an integrative treatment setting: The Cancer Treatment Centers of America experience. Journal of Clinical Oncology. 22(14_suppl). 3694–3694. 1 indexed citations
13.
Lis, C. G., Digant Gupta, R. D. Levin, et al.. (2004). Quality of life outcomes of advanced colorectal cancer in an integrative treatment setting: The Cancer Treatment Centers of America experience. Journal of Clinical Oncology. 22(14_suppl). 3694–3694. 6 indexed citations
14.
Levin, R. D., Digant Gupta, Sara Hoffman, et al.. (2004). Quality of life assessment in clinical oncology: Implications for prognosis in advanced colorectal cancer. Journal of Clinical Oncology. 22(14_suppl). 3699–3699. 1 indexed citations
15.
Levin, R. D., Digant Gupta, Sara Hoffman, et al.. (2004). Quality of life assessment in clinical oncology: Implications for prognosis in advanced colorectal cancer. Journal of Clinical Oncology. 22(14_suppl). 3699–3699. 1 indexed citations
16.
Gupta, Digant, C. A. Lammersfeld, Pankaj G. Vashi, et al.. (2004). Nutritional correlates of bioelectrical impedance phase angle in colorectal cancer. Annals of Epidemiology. 14(8). 594–595. 3 indexed citations
17.
Connell, Philip P., et al.. (2004). A Hot Spot for RAD51C Interactions Revealed by a Peptide That Sensitizes Cells to Cisplatin. Cancer Research. 64(9). 3002–3005. 13 indexed citations
18.
McQuellon, Richard P., Michael J. Wells, Sara Hoffman, et al.. (1998). Reducing distress in cancer patients with an orientation program. Psycho-Oncology. 7(3). 207–217. 88 indexed citations
19.
Russell, GB, et al.. (1997). Quality of life in breast cancer patients before and after autologous bone marrow transplantation.. Rehabilitation Oncology. 15(3). 23–23. 15 indexed citations
20.
McQuellon, Richard P., et al.. (1996). Quality of life in breast cancer patients before and after autologous bone marrow transplantation.. PubMed. 18(3). 579–84. 47 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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