Jonathan Reichel

1.9k total citations
18 papers, 492 citations indexed

About

Jonathan Reichel is a scholar working on Pathology and Forensic Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Jonathan Reichel has authored 18 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 9 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Jonathan Reichel's work include Cancer Genomics and Diagnostics (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Genetic factors in colorectal cancer (3 papers). Jonathan Reichel is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Genetic factors in colorectal cancer (3 papers). Jonathan Reichel collaborates with scholars based in United States, Italy and United Kingdom. Jonathan Reichel's co-authors include Ethel Cesarman, Mikhail Roshal, Olivier Elemento, Ben F. Hurley, Wayne Tam, Robert E. Ferrell, Matthew J. Delmonico, Joshua Brody, Jennifer Totonchy and Matthew C. Kostek and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Jonathan Reichel

17 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Reichel United States 8 236 211 122 111 102 18 492
Kerstin Wenzl United States 15 218 0.9× 245 1.2× 174 1.4× 124 1.1× 106 1.0× 22 553
Kati Kämpjärvi Finland 12 97 0.4× 117 0.6× 228 1.9× 34 0.3× 98 1.0× 20 1.0k
Kyung Han Nam South Korea 14 428 1.8× 126 0.6× 227 1.9× 99 0.9× 154 1.5× 46 832
Masahiro Ohara Japan 16 299 1.3× 75 0.4× 193 1.6× 119 1.1× 209 2.0× 44 654
Kimberly F. Kerstann United States 5 137 0.6× 82 0.4× 174 1.4× 41 0.4× 67 0.7× 9 400
Rai‐Hua Lai Taiwan 12 254 1.1× 243 1.2× 176 1.4× 57 0.5× 69 0.7× 18 508
Ruirong Yuan United States 9 204 0.9× 75 0.4× 209 1.7× 76 0.7× 45 0.4× 11 470
Jurriaan Brouwer‐Visser United States 12 170 0.7× 85 0.4× 239 2.0× 74 0.7× 121 1.2× 46 495
Maarit Ahtiainen Finland 16 358 1.5× 126 0.6× 163 1.3× 150 1.4× 130 1.3× 46 621
Rosa M Martín Orozco Spain 6 121 0.5× 207 1.0× 80 0.7× 105 0.9× 35 0.3× 6 459

Countries citing papers authored by Jonathan Reichel

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Reichel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Reichel

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

All Works

18 of 18 papers shown
1.
Adil, Mohamed, Teodora Kolarova, Anna-Lisa Doebley, et al.. (2025). Preeclampsia risk prediction from prenatal cell-free DNA screening. Nature Medicine. 31(4). 1312–1318. 7 indexed citations
2.
Huang, Tzu‐Ting, Jayakumar R. Nair, Daniel An, et al.. (2023). BLM overexpression as a predictive biomarker for CHK1 inhibitor response in PARP inhibitor–resistant BRCA -mutant ovarian cancer. Science Translational Medicine. 15(701). eadd7872–eadd7872. 17 indexed citations
3.
Shree, Raj, et al.. (2023). Anticoagulation use is associated with lower fetal fraction and more indeterminate results. American Journal of Obstetrics and Gynecology. 230(1). 95.e1–95.e10. 3 indexed citations
4.
Lidberg, Kevin A., Mohamed Adil, Lu Wang, et al.. (2022). Serum Protein Exposure Activates a Core Regulatory Program Driving Human Proximal Tubule Injury. Journal of the American Society of Nephrology. 33(5). 949–965. 14 indexed citations
5.
Smyth, Lillian M., Jonathan Reichel, Jiabin Tang, et al.. (2021). Utility of Serial cfDNA NGS for Prospective Genomic Analysis of Patients on a Phase I Basket Study. JCO Precision Oncology. 5(5). 6–16. 4 indexed citations
6.
Schweizer, Michael T., Gavin Ha, Roman Gulati, et al.. (2020). CDK12-Mutated Prostate Cancer: Clinical Outcomes With Standard Therapies and Immune Checkpoint Blockade. JCO Precision Oncology. 4(4). 382–392. 64 indexed citations
7.
Narayan, Raja R., Debra A. Goldman, Mithat Gönen, et al.. (2019). Peripheral Circulating Tumor DNA Detection Predicts Poor Outcomes After Liver Resection for Metastatic Colorectal Cancer. Annals of Surgical Oncology. 26(6). 1824–1832. 23 indexed citations
8.
Cesarman, Ethel, Mikhail Roshal, Jonathan Reichel, et al.. (2019). RNA Sequencing of Hodgkin Lymphoma Reed-Sternberg Cells Uncovers a Plasma Cell Signature and Escape from NK Cell Recognition. Blood. 134(Supplement_1). 549–549.
9.
Srinivasan, Preethi, Christina Tran, Jonathan Reichel, et al.. (2018). Abstract 3656: Detecting MSI in plasma: Implications for early detection of lynch associated tumors. Cancer Research. 78(13_Supplement). 3656–3656. 2 indexed citations
10.
Nayar, Utthara, Jonathan Reichel, Gunkut Akar, et al.. (2017). Identification of a nucleoside analog active against adenosine kinase–expressing plasma cell malignancies. Journal of Clinical Investigation. 127(6). 2066–2080. 9 indexed citations
11.
Reichel, Jonathan, Jason McCormick, Jonathan R. Fromm, et al.. (2017). Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma. Journal of Visualized Experiments. 4 indexed citations
12.
Audenet, François, Mark T.A. Donoghue, Eugene J. Pietzak, et al.. (2017). Genomic comparison of matched primary and metastatic germ cell tumors (GCT).. Journal of Clinical Oncology. 35(15_suppl). 4556–4556. 1 indexed citations
13.
Reichel, Jonathan, Jason McCormick, Jonathan R. Fromm, et al.. (2017). Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma. Journal of Visualized Experiments. 3 indexed citations
14.
Reichel, Jonathan, Amy Chadburn, P Rubinstein, et al.. (2014). Flow sorting and exome sequencing reveal the oncogenome of primary Hodgkin and Reed-Sternberg cells. Blood. 125(7). 1061–1072. 217 indexed citations
15.
Giulino‐Roth, Lisa, Jonathan Reichel, Julie Teruya‐Feldstein, et al.. (2014). Beta-2 Microglobulin (B2 M) Genomic Alterations and Absent Protein Expression in Pediatric and Adolescent Classical Hodgkin Lymphoma. Klinische Pädiatrie. 226(2). 1 indexed citations
16.
Vogel, Marion, Linka Xie, Hanfeng Guan, et al.. (2014). FOXO1 repression contributes to block of plasma cell differentiation in classical Hodgkin lymphoma. Blood. 124(20). 3118–3129. 32 indexed citations
17.
18.
Kostek, Matthew C., Matthew J. Delmonico, Jonathan Reichel, et al.. (2005). Muscle strength response to strength training is influenced by insulin-like growth factor 1 genotype in older adults. Journal of Applied Physiology. 98(6). 2147–2154. 88 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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