Hannah I. Hoffman

508 total citations
9 papers, 48 citations indexed

About

Hannah I. Hoffman is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Hannah I. Hoffman has authored 9 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Hannah I. Hoffman's work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Hannah I. Hoffman is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Hannah I. Hoffman collaborates with scholars based in United States and Finland. Hannah I. Hoffman's co-authors include Kevin Small, Thomas A. Imahiyerobo, William L. Hwang, Jimmy A. Guo, Mia Talmor, Elijah W. Stommel, Angeline S. Andrew, Stuti G. Shroff, Jay S. Loeffler and Erik P. Pioro and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Science Advances.

In The Last Decade

Hannah I. Hoffman

7 papers receiving 48 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah I. Hoffman United States 5 18 13 9 7 6 9 48
Alexander A. Valiga United States 5 8 0.4× 19 1.5× 24 2.7× 11 1.6× 5 0.8× 11 73
Sarah Sigrist Switzerland 4 19 1.1× 9 0.7× 5 0.6× 17 2.4× 5 0.8× 4 55
J. Abeillon France 5 17 0.9× 19 1.5× 5 0.6× 11 1.6× 4 0.7× 10 60
Rajesh Nair United Kingdom 5 18 1.0× 7 0.5× 12 1.3× 7 1.0× 6 1.0× 8 39
John F. de Groot United States 3 3 0.2× 11 0.8× 15 1.7× 18 2.6× 9 1.5× 3 60
Jaya Vijayaraghavan India 5 20 1.1× 3 0.2× 4 0.4× 6 0.9× 2 0.3× 9 57
Helga Kraxner Hungary 5 5 0.3× 8 0.6× 12 1.3× 6 0.9× 2 0.3× 6 35
Marc J. Laufgraben United States 3 26 1.4× 10 0.8× 15 1.7× 4 0.6× 6 64
Jody Goldstein United States 2 9 0.5× 17 1.3× 8 0.9× 5 0.7× 4 26
Agustinus Soemantri Indonesia 4 23 1.3× 10 0.8× 16 1.8× 5 0.7× 1 0.2× 9 75

Countries citing papers authored by Hannah I. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Hannah I. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah I. Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah I. Hoffman. A scholar is included among the top collaborators of Hannah I. 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 Hannah I. Hoffman. Hannah I. Hoffman 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
1.
Nelson, Kimberly, Terrence L. Smalley, Terri Messier, et al.. (2025). Mechanism-based peroxiredoxin 3 inhibitors exploit a covalent warhead for cancer therapy. Science Advances. 11(44). eady4492–eady4492.
2.
Guo, Jimmy A., Mohammed Alshalalfa, Daniel Y. Kim, et al.. (2022). DNA repair and immune checkpoint blockade response. Cancer Genetics. 264-265. 1–4. 2 indexed citations
3.
Hoffman, Hannah I., Jimmy A. Guo, Neha Goel, et al.. (2022). Genomic alterations predictive of poor clinical outcomes in pan-cancer. Oncotarget. 13(1). 1069–1077. 1 indexed citations
4.
Guo, Jimmy A., Hannah I. Hoffman, Stuti G. Shroff, et al.. (2021). Pan-cancer Transcriptomic Predictors of Perineural Invasion Improve Occult Histopathologic Detection. Clinical Cancer Research. 27(10). 2807–2815. 16 indexed citations
5.
Hoffman, Hannah I., et al.. (2021). “Residents as Teachers” Workshops Designed by Surgery Residents for Surgery Residents. Journal of Surgical Research. 270. 187–194. 7 indexed citations
6.
Hoffman, Hannah I., Walter G. Bradley, Celia Y. Chen, et al.. (2021). Amyotrophic Lateral Sclerosis Risk, Family Income, and Fish Consumption Estimates of Mercury and Omega-3 PUFAs in the United States. International Journal of Environmental Research and Public Health. 18(9). 4528–4528. 7 indexed citations
7.
Guo, Jimmy A., Hannah I. Hoffman, Colin D. Weekes, et al.. (2021). Refining the Molecular Framework for Pancreatic Cancer with Single-cell and Spatial Technologies. Clinical Cancer Research. 27(14). 3825–3833. 4 indexed citations
8.
Guo, Jimmy A., Hannah I. Hoffman, Daniel Y. Kim, et al.. (2020). Identifying pan-cancer transcriptomic determinants of perineural and lymphovascular invasion using machine learning.. Journal of Clinical Oncology. 38(15_suppl). 3621–3621.
9.
Imahiyerobo, Thomas A., et al.. (2016). Transition from Round to Shaped Implants in Immediate Breast Reconstruction: Our Preferred Approach and Clinical Outcomes. Aesthetic Plastic Surgery. 41(2). 284–292. 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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