Alicia Steffens

458 total citations
10 papers, 136 citations indexed

About

Alicia Steffens is a scholar working on Genetics, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alicia Steffens has authored 10 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alicia Steffens's work include Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Autophagy in Disease and Therapy (2 papers). Alicia Steffens is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Autophagy in Disease and Therapy (2 papers). Alicia Steffens collaborates with scholars based in United States, Philippines and Japan. Alicia Steffens's co-authors include Craig Horbinski, Kathleen McCortney, Matthew McCord, Michael Drumm, Tim J. Kruser, Roger Stupp, Priya Kumthekar, Karan Dixit, Jeffrey J. Raizer and Rimas V. Lukas and has published in prestigious journals such as Blood, The Journal of Immunology and Journal of neurosurgery.

In The Last Decade

Alicia Steffens

7 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia Steffens United States 4 81 34 34 25 22 10 136
Wolfgang Wick Germany 4 137 1.7× 63 1.9× 54 1.6× 58 2.3× 31 1.4× 10 201
Taishi Nakamura Japan 6 126 1.6× 51 1.5× 45 1.3× 21 0.8× 30 1.4× 21 177
Yunbo Zhan China 7 50 0.6× 53 1.6× 31 0.9× 30 1.2× 20 0.9× 9 135
Kristyn Galbraith United States 6 125 1.5× 88 2.6× 69 2.0× 22 0.9× 48 2.2× 21 190
Alice Laurenge France 3 85 1.0× 24 0.7× 22 0.6× 34 1.4× 27 1.2× 8 104
Lori Ramkissoon United States 8 117 1.4× 119 3.5× 38 1.1× 24 1.0× 38 1.7× 14 270
Harim Koo South Korea 7 52 0.6× 46 1.4× 36 1.1× 34 1.4× 27 1.2× 14 124
Shin‐Hyuk Kang South Korea 7 24 0.3× 44 1.3× 20 0.6× 23 0.9× 13 0.6× 21 173
Shunichiro Miki Japan 8 89 1.1× 63 1.9× 28 0.8× 16 0.6× 59 2.7× 25 205
Jiangfen Zhou China 6 46 0.6× 56 1.6× 38 1.1× 19 0.8× 45 2.0× 18 127

Countries citing papers authored by Alicia Steffens

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Steffens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Steffens

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

All Works

10 of 10 papers shown
1.
Sugiura, Yusuke, Kaijie Zhang, Yuanqing Yan, et al.. (2025). Exploring fibroblast activation protein as an early biomarker in chronic lung allograft dysfunction. European Respiratory Journal. 2501738–2501738.
2.
Hanson, Barbara A., Xin Dang, Pouya Jamshidi, et al.. (2025). Human pegivirus alters brain and blood immune and transcriptomic profiles of patients with Parkinson’s disease. JCI Insight. 10(13). 2 indexed citations
3.
Drumm, Michael, Matthew McCord, Alicia Steffens, et al.. (2024). Optimizing the use of Ki-67 proliferative index as a prognostic biomarker in meningiomas using digital analysis. Journal of neurosurgery. 141(6). 1644–1654. 3 indexed citations
4.
Najem, Hinda, Kathleen McCortney, Alicia Steffens, et al.. (2023). Immune Spatial Differences Between Short and Long-term Surviving Glioblastoma Patients. The Journal of Immunology. 210(Supplement_1). 88.15–88.15.
5.
Burdett, Kirsten B., Dusten Unruh, Michael Drumm, et al.. (2022). Determining venous thromboembolism risk in patients with adult-type diffuse glioma. Blood. 141(11). 1322–1336. 16 indexed citations
6.
Turaga, Soumya M., Defne Bayık, Daniel J. Silver, et al.. (2022). SerpinB3 drives cancer stem cell survival in glioblastoma. Cell Reports. 40(11). 111348–111348. 21 indexed citations
7.
Chornenkyy, Yevgen, et al.. (2021). The Frequency of Focal Cortical Dysplasia-Like Histologic Features Near Adult-Type Diffuse Gliomas. Journal of Neuropathology & Experimental Neurology. 81(1). 48–53.
8.
McCord, Matthew, et al.. (2020). The efficacy of DNA mismatch repair enzyme immunohistochemistry as a screening test for hypermutated gliomas. Acta Neuropathologica Communications. 8(1). 15–15. 34 indexed citations
9.
Drumm, Michael, Karan Dixit, Sean Grimm, et al.. (2019). HOUT-11. EXTENSIVE BRAINSTEM INFILTRATION, NOT MASS EFFECT, IS A COMMON FEATURE OF END-STAGE CEREBRAL GLIOBLASTOMAS. Neuro-Oncology. 21(Supplement_6). vi114–vi114. 1 indexed citations
10.
Drumm, Michael, Karan Dixit, Sean Grimm, et al.. (2019). Extensive brainstem infiltration, not mass effect, is a common feature of end-stage cerebral glioblastomas. Neuro-Oncology. 22(4). 470–479. 59 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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