M. Soike

906 total citations
52 papers, 469 citations indexed

About

M. Soike is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, M. Soike has authored 52 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Genetics. Recurrent topics in M. Soike's work include Glioma Diagnosis and Treatment (17 papers), Brain Metastases and Treatment (15 papers) and Advanced Radiotherapy Techniques (14 papers). M. Soike is often cited by papers focused on Glioma Diagnosis and Treatment (17 papers), Brain Metastases and Treatment (15 papers) and Advanced Radiotherapy Techniques (14 papers). M. Soike collaborates with scholars based in United States, Austria and Australia. M. Soike's co-authors include Michael D. Chan, Michael Farris, Ryan T. Hughes, E. McTyre, Christina K. Cramer, A. William Blackstock, Jimmy Ruiz, W. Jeffrey Petty, Jing Su and Hui‐Wen Lo and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Journal of neurosurgery.

In The Last Decade

M. Soike

46 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Soike United States	14	258	133	130	128	115	52	469
Nikhil Sebastian United States	11	234 0.9×	179 1.3×	71 0.5×	85 0.7×	181 1.6×	46	579
M Weil United States	12	260 1.0×	80 0.6×	184 1.4×	97 0.8×	162 1.4×	39	520
Renate Haselmann Germany	7	212 0.8×	93 0.7×	80 0.6×	86 0.7×	148 1.3×	9	352
Whoon Jong Kil United States	10	134 0.5×	137 1.0×	57 0.4×	63 0.5×	112 1.0×	28	430
M Slavík Czechia	11	191 0.7×	102 0.8×	52 0.4×	61 0.5×	125 1.1×	50	439
Jeffrey S. Eshleman United States	8	167 0.6×	136 1.0×	106 0.8×	146 1.1×	96 0.8×	13	510
Huan-Huan Wang China	11	151 0.6×	195 1.5×	74 0.6×	48 0.4×	50 0.4×	13	461
Angela Mohr Germany	15	270 1.0×	90 0.7×	167 1.3×	143 1.1×	228 2.0×	25	559
Anca‐L. Grosu Germany	12	153 0.6×	77 0.6×	35 0.3×	127 1.0×	72 0.6×	28	389
A. Fernandes United States	13	294 1.1×	207 1.6×	131 1.0×	157 1.2×	26 0.2×	23	679

Countries citing papers authored by M. Soike

Since Specialization

Citations

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

Fields of papers citing papers by M. Soike

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Soike

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

All Works

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20 of 20 papers shown

Soike, M., et al.. (2025). Assessing quantitative performance and expert review of multiple deep learning-based frameworks for computed tomography-based abdominal organ auto-segmentation. PubMed. 1(2). 160–171.

Duan, Jingwei, Joseph Harms, Drexell H. Boggs, et al.. (2025). Assessing Dosimetric Benefits of Cone Beam Computed Tomography-Guided Online Adaptive Radiation Treatment Frequencies for Lung Cancer. Advances in Radiation Oncology. 10(4). 101740–101740. 1 indexed citations

Chhabra, Arpit M., J.W. Snider, Adam J. Kole, et al.. (2024). Proton Therapy for Spinal Tumors: A Consensus Statement From the Particle Therapy Cooperative Group. International Journal of Radiation Oncology*Biology*Physics. 120(4). 1135–1148. 1 indexed citations

Soike, M., et al.. (2024). RADT-08. BASAL GANGLIA TOXICITY FOLLOWING PROTON THERAPY OF THE PINEAL REGION WITH BILATERAL ACTION-INDUCED MYOCLONUS. Neuro-Oncology. 26(Supplement_4). 0–0.

Stanley, Dennis N., Joseph Harms, Samuel Marcrom, et al.. (2023). A roadmap for implementation of kV‐CBCT online adaptive radiation therapy and initial first year experiences. Journal of Applied Clinical Medical Physics. 24(7). e13961–e13961. 49 indexed citations

Soike, M., Drexell H. Boggs, John B. Fiveash, et al.. (2023). Improving Communication of Peer-Review Conference Outcomes: A Practical Experience. Advances in Radiation Oncology. 8(4). 101218–101218. 1 indexed citations

Cárdenas, Carlos, Joseph Harms, M. Soike, et al.. (2023). Benchmarking Automated Machine Learning-Enhanced Planning With Ethos Against Manual and Knowledge-Based Planning for Locally Advanced Lung Cancer. Advances in Radiation Oncology. 8(6). 101292–101292. 10 indexed citations

Cárdenas, Carlos, Dennis N. Stanley, M. Soike, et al.. (2023). Improved Dosimetry and Plan Quality for Accelerated Partial Breast Irradiation Using Online Adaptive Radiation Therapy: A Single Institutional Study. Advances in Radiation Oncology. 9(3). 101414–101414. 4 indexed citations

Cárdenas, Carlos, Yanan Cao, Richard A. Popple, et al.. (2023). Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning. Frontiers in Oncology. 13. 1130119–1130119. 8 indexed citations

10.

Chen, Xuguang, Vishwa S. Parekh, Luke Peng, et al.. (2021). Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery. Neuro-Oncology Advances. 3(1). vdab150–vdab150. 14 indexed citations

11.

Su, Jing, Qianqian Song, Shadi Qasem, et al.. (2021). Multi-Omics Analysis of Brain Metastasis Outcomes Following Craniotomy. Frontiers in Oncology. 10. 615472–615472. 33 indexed citations

12.

Pullikuth, Ashok, Eric D. Routh, Kip D. Zimmerman, et al.. (2021). Bulk and Single-Cell Profiling of Breast Tumors Identifies TREM-1 as a Dominant Immune Suppressive Marker Associated With Poor Outcomes. Frontiers in Oncology. 11. 734959–734959. 22 indexed citations

13.

Chen, X., Vishwa S. Parekh, Luke Peng, et al.. (2020). External Validation Of A Radiomics-Based Machine Learning Model For Distinguishing Radiation Necrosis From Progression Of Brain Metastases Treated With Stereotactic Radiosurgery. International Journal of Radiation Oncology*Biology*Physics. 108(3). e722–e723. 2 indexed citations

14.

LeCompte, M.C., Ryan T. Hughes, Michael Farris, et al.. (2020). Impact of brain metastasis velocity on neurologic death for brain metastasis patients experiencing distant brain failure after initial stereotactic radiosurgery. Journal of Neuro-Oncology. 146(2). 285–292. 8 indexed citations

15.

Renfrow, Jaclyn J., M. Soike, James L. W. West, et al.. (2020). Attenuating hypoxia driven malignant behavior in glioblastoma with a novel hypoxia-inducible factor 2 alpha inhibitor. Scientific Reports. 10(1). 15195–15195. 23 indexed citations

16.

Soike, M., Jennifer K. Logue, Shadi Qasem, et al.. (2019). CD138 plasma cells may predict brain metastasis recurrence following resection and stereotactic radiosurgery. Scientific Reports. 9(1). 14385–14385. 6 indexed citations

17.

Hughes, Ryan T., et al.. (2019). Moderately Hypofractionated Radiotherapy Alone for Stage I-IIB Non-small Cell Lung Cancer. Cureus. 11(6). e4969–e4969. 4 indexed citations

18.

Kilburn, Jeremy M., John T. Lucas, M. Soike, et al.. (2016). Is a Clinical Target Volume (CTV) Necessary in the Treatment of Lung Cancer in the Modern Era Combining 4-D Imaging and Image-guided Radiotherapy (IGRT)?. Cureus. 8(1). e466–e466. 13 indexed citations

19.

Kilburn, Jeremy M., M. Soike, John T. Lucas, et al.. (2015). Image guided radiation therapy may result in improved local control in locally advanced lung cancer patients. Practical Radiation Oncology. 6(3). e73–e80. 21 indexed citations

20.

Lucas, John T., D.N. Ayala-Peacock, Manuela Piazza, et al.. (2014). A Propensity Score Adjusted Analysis of Patients Receiving Up-Front SRS Versus WBRT: Does the Use of Upfront WBRT Really Affect Neurologic Death?. International Journal of Radiation Oncology*Biology*Physics. 90(1). S315–S316. 1 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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