Jens Rueter

489 total citations
20 papers, 301 citations indexed

About

Jens Rueter is a scholar working on Genetics, Cancer Research and Genetics. According to data from OpenAlex, Jens Rueter has authored 20 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Jens Rueter's work include BRCA gene mutations in cancer (7 papers), Cancer Genomics and Diagnostics (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Jens Rueter is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Cancer Genomics and Diagnostics (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Jens Rueter collaborates with scholars based in United States, Italy and Australia. Jens Rueter's co-authors include Jon Arnason, Caron A. Jacobson, Jennifer R. Brown, Laura Stampleman, David C. Fisher, Peter Sportelli, Hari P. Miskin, Matthew S. Davids, Alexandra Savell and Adam Boruchov and has published in prestigious journals such as Blood, Journal of Cellular Biochemistry and Patient Education and Counseling.

In The Last Decade

Jens Rueter

19 papers receiving 298 citations

Peers

Jens Rueter

ONCOL

GENET

PFM

Subhayan Chattopadhyay Sweden

Blanche H. Mavromatis United States

Vinciane Marchand France

Thomas F.E. Barth Germany

Pascaline Etancelin France

Erin Jou United States

David Sermer United States

Sandra P. Susanibar-Adaniya United States

Jacob Haaber Denmark

Eivind Galteland Norway

Subhayan Chattopadhyay Sweden

Jens Rueter

125 ×1.2

ONCOL

68 ×0.6

GENET

105 ×1.0

PFM

71 ×0.9

42 ×0.6

Citations per year, relative to Jens Rueter Jens Rueter (= 1×) peers Subhayan Chattopadhyay

Countries citing papers authored by Jens Rueter

Since Specialization

Citations

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

Fields of papers citing papers by Jens Rueter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Rueter

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Rueter. A scholar is included among the top collaborators of Jens Rueter 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 Jens Rueter. Jens Rueter 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

Anderson, Eric, F. Lee Lucas, Michael J. Hall, et al.. (2024). Genome-matched treatments and patient outcomes in the Maine Cancer Genomics Initiative (MCGI). npj Precision Oncology. 8(1). 67–67. 3 indexed citations

Edelman, Emily, F. Lee Lucas, Petra Helbig, et al.. (2023). Urban-Rural and Socioeconomic Differences in Patient Knowledge and Perceptions of Genomic Tumor Testing. JCO Precision Oncology. 7(7). e2200631–e2200631. 4 indexed citations

Rueter, Jens, Eric Anderson, Leah Graham, et al.. (2023). The Maine Cancer Genomics Initiative: Implementing a Community Cancer Genomics Program Across an Entire Rural State. JCO Precision Oncology. 7(7). e2200619–e2200619. 4 indexed citations

Rueter, Jens, et al.. (2023). Sociodemographic differences in treatment and survival for patients who receive genomic tumor testing in a rural state.. JCO Oncology Practice. 19(11_suppl). 170–170. 1 indexed citations

Anderson, Eric, et al.. (2022). 307 Patients expectations of benefits from large-panel genomic tumor testing in rural community oncology practices. Journal of Clinical and Translational Science. 6(s1). 53–54. 1 indexed citations

Ravanmehr, Vida, Hannah Blau, Luca Cappelletti, et al.. (2021). Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer. NAR Genomics and Bioinformatics. 3(4). lqab113–lqab113. 4 indexed citations

Anderson, Eric, Emily Edelman, Petra Helbig, et al.. (2021). Patients' Expectations of Benefits From Large-Panel Genomic Tumor Testing in Rural Community Oncology Practices. JCO Precision Oncology. 5(5). 1554–1562. 5 indexed citations

Han, Paul K. J., Eric Anderson, Tania D. Strout, et al.. (2021). Epistemic Beliefs: Relationship to Future Expectancies and Quality of Life in Cancer Patients. Journal of Pain and Symptom Management. 63(4). 512–521. 2 indexed citations

Anderson, Eric, Christine W. Lary, Tania D. Strout, et al.. (2020). The influence of uncertainty and uncertainty tolerance on attitudes and self-efficacy about genomic tumor testing. Psychology Health & Medicine. 26(7). 805–817. 16 indexed citations

10.

Nie, Qian, et al.. (2020). Molecular profiling of gynecologic cancers for treatment and management of disease – demonstrating clinical significance using the AMP/ASCO/CAP guidelines for interpretation and reporting of somatic variants. Cancer Genetics. 242. 25–34. 3 indexed citations

11.

Fenton, Anny, et al.. (2020). Differences in cancer patients’ and clinicians’ preferences for disclosure of uncertain genomic tumor testing results. Patient Education and Counseling. 104(1). 3–11. 12 indexed citations

12.

Zhao, Yue, Ziwei Pan, Sandeep Namburi, et al.. (2020). CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence. EBioMedicine. 61. 103030–103030. 64 indexed citations

13.

Nie, Qian, et al.. (2019). Molecular profiling of CNS tumors for the treatment and management of disease. Journal of Clinical Neuroscience. 71. 311–315. 6 indexed citations

14.

Davids, Matthew S., Haesook T. Kim, Alexandra Savell, et al.. (2018). Umbralisib in combination with ibrutinib in patients with relapsed or refractory chronic lymphocytic leukaemia or mantle cell lymphoma: a multicentre phase 1–1b study. The Lancet Haematology. 6(1). e38–e47. 90 indexed citations

15.

Thomas, Christian A., Robert Christman, Gregory D. Lewis, et al.. (2018). Genomic Profiling of Two Histologically Distinct Rare Urothelial Cancers in a Clinical Setting to Identify Potential Therapeutic Options for Treatment and Management of Disease. Case Reports in Oncology. 11(1). 196–205. 2 indexed citations

16.

Rueter, Jens, et al.. (2018). Additive and synergistic inhibition of mantle cell lymphoma cell growth by combining olaparib with ibrutinib. Journal of Cellular Biochemistry. 119(7). 5843–5851. 6 indexed citations

17.

Facciabene, Andrea, Francesco De Sanctis, Stefano Pierini, et al.. (2017). Local endothelial complement activation reverses endothelial quiescence, enabling t-cell homing, and tumor control during t-cell immunotherapy. OncoImmunology. 6(9). e1326442–e1326442. 56 indexed citations

18.

Davids, Matthew S., Karen Francoeur, Hari P. Miskin, et al.. (2017). UPDATED RESULTS OF A MULTICENTER PHASE I/IB STUDY OF TGR‐1202 IN COMBINATION WITH IBRUTINIB IN PATIENTS WITH RELAPSED OR REFRACTORY MCL OR CLL. Hematological Oncology. 35(S2). 54–55. 6 indexed citations

19.

Davids, Matthew S., Haesook T. Kim, Alexandra Savell, et al.. (2016). TGR-1202 in Combination with Ibrutinib in Patients with Relapsed or Refractory CLL or MCL: Preliminary Results of a Multicenter Phase I/Ib Study. Blood. 128(22). 641–641. 15 indexed citations

20.

Rueter, Jens. (2003). P.3.3 Applicability of medtronic enpulse atrial capture management. EP Europace. 4(Supplement_1). A46–A46. 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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