Jennifer Furkel

707 total citations
17 papers, 271 citations indexed

About

Jennifer Furkel is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jennifer Furkel has authored 17 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jennifer Furkel's work include RNA modifications and cancer (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jennifer Furkel is often cited by papers focused on RNA modifications and cancer (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jennifer Furkel collaborates with scholars based in Germany, United States and Austria. Jennifer Furkel's co-authors include Amir Abdollahi, Maximilian Knoll, Jürgen Debus, André Karch, Christian Stock, Mathias H. Konstandin, Hugo A. Katus, Stefan Rieken, Norbert Frey and Felix Sahm and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Jennifer Furkel

16 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Furkel Germany	7	76	58	45	40	36	17	271
Olivia Foley United States	8	71 0.9×	47 0.8×	78 1.7×	31 0.8×	27 0.8×	27	284
José Mariz Portugal	11	67 0.9×	89 1.5×	34 0.8×	66 1.6×	16 0.4×	41	362
Zheng Long China	6	84 1.1×	81 1.4×	45 1.0×	72 1.8×	31 0.9×	8	314
Moaath K. Mustafa Ali United States	12	127 1.7×	45 0.8×	28 0.6×	59 1.5×	28 0.8×	52	377
Samip Master United States	10	136 1.8×	40 0.7×	27 0.6×	56 1.4×	19 0.5×	56	325
Bernard Tawfik United States	9	158 2.1×	67 1.2×	57 1.3×	52 1.3×	72 2.0×	30	335
Setareh Akhavan Iran	10	46 0.6×	57 1.0×	58 1.3×	27 0.7×	56 1.6×	57	291
Ghaleb Elyamany Saudi Arabia	11	90 1.2×	46 0.8×	41 0.9×	32 0.8×	19 0.5×	49	393
Byron Sigel United States	8	82 1.1×	38 0.7×	31 0.7×	56 1.4×	46 1.3×	15	265
Georgia McCaughan Australia	10	82 1.1×	22 0.4×	60 1.3×	35 0.9×	23 0.6×	29	265

Countries citing papers authored by Jennifer Furkel

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Furkel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Furkel

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

All Works

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17 of 17 papers shown

1.

Furkel, Jennifer, Xiaobo Zhou, Ibrahim El‐Battrawy, et al.. (2024). Macrophages enhance sodium channel expression in cardiomyocytes. Basic Research in Cardiology. 119(6). 1063–1073. 1 indexed citations

2.

Gupta, Parul, S. Hartl, Jennifer Furkel, et al.. (2023). Ythdf2 regulates cardiac remodeling through its mRNA target transcripts. Journal of Molecular and Cellular Cardiology. 181. 57–66. 15 indexed citations

3.

Meister, Sarah, Jennifer Furkel, Maximilian Knoll, et al.. (2023). Abstract 1105: Carbon ion radiotherapy eradicates glioblastoma via tumor immune environment reprograming. Cancer Research. 83(7_Supplement). 1105–1105. 1 indexed citations

4.

Knoll, Maximilian, Jennifer Furkel, Ute Wirkner, et al.. (2022). Whole Blood Transcriptional Fingerprints of High-Grade Glioma and Longitudinal Tumor Evolution under Carbon Ion Radiotherapy. Cancers. 14(3). 684–684. 5 indexed citations

5.

Furkel, Jennifer, Manuel Röhrich, Bouchra Tawk, et al.. (2022). The impact of tumor metabolic activity assessed by 18F-FET amino acid PET imaging in particle radiotherapy of high-grade glioma patients. Frontiers in Oncology. 12. 901390–901390. 3 indexed citations

6.

Hartmann, Laura, Wolfram Osen, Jennifer Furkel, et al.. (2022). Carbon ion irradiation plus CTLA4 blockade elicits therapeutic immune responses in a murine tumor model. Cancer Letters. 550. 215928–215928. 17 indexed citations

7.

Berberich, Anne, Maximilian Knoll, Stefan Pusch, et al.. (2022). AAMP is a binding partner of costimulatory human B7-H3. Neuro-Oncology Advances. 4(1). vdac098–vdac098. 13 indexed citations

8.

Furkel, Jennifer, Maximilian Knoll, Shabana Din, et al.. (2021). C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine. Cell Reports Medicine. 2(11). 100436–100436. 7 indexed citations

9.

Hein, Selina, Jennifer Furkel, Maximilian Knoll, et al.. (2021). Impaired in vitro growth response of plasma-treated cardiomyocytes predicts poor outcome in patients with transthyretin amyloidosis. Clinical Research in Cardiology. 110(4). 579–590. 5 indexed citations

10.

Hein, Selina, Maximilian Knoll, Fabian aus dem Siepen, et al.. (2021). Elevated interleukin-6 levels are associated with impaired outcome in cardiac transthyretin amyloidosis. World Journal of Cardiology. 13(3). 55–67. 6 indexed citations

11.

Hein, Selina, Maximilian Knoll, Fabian aus dem Siepen, et al.. (2021). Elevated interleukin-6 levels are associated with impaired outcome in cardiac transthyretin amyloidosis. World Journal of Cardiology. 13(3). 55–67. 1 indexed citations

12.

Górska, Agnieszka, Eva Riechert, Christoph P. Hofmann, et al.. (2021). Muscle‐specific Cand2 is translationally upregulated by mTORC1 and promotes adverse cardiac remodeling. EMBO Reports. 22(12). e52170–e52170. 12 indexed citations

13.

Knoll, Maximilian, Jennifer Furkel, Jürgen Debus, & Amir Abdollahi. (2021). modelBuildR: an R package for model building and feature selection with erroneous classifications. PeerJ. 9. e10849–e10849. 3 indexed citations

14.

Knoll, Maximilian, Jennifer Furkel, Jürgen Debus, et al.. (2020). An R package for an integrated evaluation of statistical approaches to cancer incidence projection. BMC Medical Research Methodology. 20(1). 176 indexed citations

15.

Furkel, Jennifer, Shabana Din, Ingke Braren, et al.. (2020). A novel approach to genetic engineering of T-cell subsets by hematopoietic stem cell infection with a bicistronic lentivirus. Scientific Reports. 10(1). 13740–13740. 2 indexed citations

16.

Furkel, Jennifer, Sayed-Mohammad Hasheminasab, Mahmoud Moustafa, et al.. (2020). Single Cell Transcriptomics Based Deconvolution Of Radiation Induced Lung Fibrosis (RILF) Model. International Journal of Radiation Oncology*Biology*Physics. 108(3). e551–e552. 1 indexed citations

17.

Knoll, Maximilian, Jürgen Debus, Jennifer Furkel, et al.. (2019). Glioblastoma evolution pattern under surgery and radio(chemo)therapy (RCHT) to identify novel methylome based glioma subtypes.. Journal of Clinical Oncology. 37(15_suppl). 2012–2012. 3 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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