Jennifer M. Kwan

2.9k total citations
51 papers, 1.2k citations indexed

About

Jennifer M. Kwan is a scholar working on Oncology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jennifer M. Kwan has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 15 papers in Cardiology and Cardiovascular Medicine and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jennifer M. Kwan's work include Cardiac Imaging and Diagnostics (9 papers), Diversity and Career in Medicine (8 papers) and Chemotherapy-induced cardiotoxicity and mitigation (7 papers). Jennifer M. Kwan is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Diversity and Career in Medicine (8 papers) and Chemotherapy-induced cardiotoxicity and mitigation (7 papers). Jennifer M. Kwan collaborates with scholars based in United States, France and Portugal. Jennifer M. Kwan's co-authors include Allen S. Yang, Stephanie Halene, John Hwa, Hyung J. Chun, Alfred Ian Lee, Jody C. Chuang, Peter A. Jones, Gangning Liang, Christine B. Yoo and Tony W.H. Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Blood.

In The Last Decade

Jennifer M. Kwan

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer M. Kwan United States 16 397 270 167 164 159 51 1.2k
Alfred H.J. Kim United States 20 224 0.6× 559 2.1× 209 1.3× 113 0.7× 594 3.7× 58 1.6k
Justyna Fert‐Bober United States 18 412 1.0× 391 1.4× 71 0.4× 184 1.1× 276 1.7× 36 1.3k
Nikolaos C. Kyriakidis Ecuador 14 261 0.7× 572 2.1× 85 0.5× 39 0.2× 214 1.3× 28 1.2k
Parag Kumar United States 18 285 0.7× 238 0.9× 45 0.3× 71 0.4× 194 1.2× 43 1.2k
Ram Doolman Israel 21 408 1.0× 746 2.8× 89 0.5× 58 0.4× 219 1.4× 54 1.8k
Farhan Cyprian Qatar 18 353 0.9× 266 1.0× 112 0.7× 27 0.2× 340 2.1× 42 1.3k
Sen Hee Tay Singapore 19 152 0.4× 404 1.5× 124 0.7× 65 0.4× 467 2.9× 53 1.4k
Thomas Martin United States 23 453 1.1× 140 0.5× 47 0.3× 80 0.5× 193 1.2× 86 1.4k
Helen Parry United Kingdom 20 358 0.9× 267 1.0× 34 0.2× 105 0.6× 268 1.7× 50 1.4k

Countries citing papers authored by Jennifer M. Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Kwan

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

All Works

20 of 20 papers shown
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Kwan, Jennifer M., Derrick Lin, Angela Higgins, et al.. (2024). Prospective Evaluation of Immune Checkpoint Inhibitor Myocarditis with Serial Quantitative Cardiovascular Magnetic Resonance and Correlations with Cardiovascular Outcomes. Journal of Cardiovascular Magnetic Resonance. 26. 100686–100686. 1 indexed citations
3.
Kwan, Jennifer M., Jérôme Lamy, Derrick Lin, et al.. (2024). Left Atrial Evaluation in Immune Check Point Inhibitor Myocarditis Using Cardiac Magnetic Resonance Imaging and Correlations with Cardiovascular Outcomes. Journal of Cardiovascular Magnetic Resonance. 26. 100677–100677. 1 indexed citations
4.
Zafar, Mohammad A., Deqiong Ma, Hui Zhang, et al.. (2024). Somatic Variants Acquired Later in Life Associated with Thoracic Aortic Aneurysms: JAK2 V617F. Genes. 15(7). 883–883.
5.
Dong, Weilai, et al.. (2024). Clinical Biochemistry of Serum Troponin. Diagnostics. 14(4). 378–378. 7 indexed citations
6.
Lamy, Jérôme, Jennifer M. Kwan, Samuel W. Reinhardt, et al.. (2024). Diastolic dysfunction evaluation by cardiovascular magnetic resonance derived E, a, e’: Comparison to echocardiography. Physiological Reports. 12(23). e70078–e70078. 1 indexed citations
7.
Allen, Stephanie, Dae Yong Park, Evangelia Vemmou, et al.. (2024). Clinical Interpretation of Serum Troponin in the Era of High-Sensitivity Testing. Diagnostics. 14(5). 503–503. 9 indexed citations
8.
Kwan, Jennifer M., Jiun‐Ruey Hu, James M. Cross, et al.. (2024). Adverse cardiovascular events and cardiac imaging findings in patients on immune checkpoint inhibitors. PLoS ONE. 19(12). e0314555–e0314555. 4 indexed citations
9.
Lin, Derrick T., Anthos Christofides, Etienne Léveillé, et al.. (2024). Clonal hematopoiesis of indeterminate potential is associated with increased risk of immune checkpoint inhibitor myocarditis in a prospective study of a cardio-oncology cohort. Cardio-Oncology. 10(1). 84–84. 5 indexed citations
10.
Esmaeili, Zahra, Niloofar Seighali, Arman Shafiee, et al.. (2024). Cardiac adverse events after Chimeric Antigen Receptor (CAR) T cell therapies: an updated systematic review and meta-analysis. Cardio-Oncology. 10(1). 6 indexed citations
11.
12.
Obradović, Aleksandar, et al.. (2024). Impact of COVID-19 pandemic on physician-scientist trainees to faculty one year into the pandemic. BMC Medical Education. 24(1). 587–587. 3 indexed citations
13.
Gosangi, Babina, Yifan Wang, Ami N. Rubinowitz, et al.. (2023). Cardiothoracic complications of immune checkpoint inhibitors. Clinical Imaging. 102. 98–108. 3 indexed citations
14.
Kwan, Jennifer M., Evan Noch, Yuqing Qiu, et al.. (2022). The Impact of COVID-19 on Physician–Scientist Trainees and Faculty in the United States: A National Survey. Academic Medicine. 97(10). 1536–1545. 12 indexed citations
15.
Marr, Mollie, et al.. (2022). Characteristics, barriers, and career intentions of a national cohort of LGBTQ+ MD/PhD and DO/PhD trainees. BMC Medical Education. 22(1). 304–304. 9 indexed citations
16.
Stendahl, John C., Jennifer M. Kwan, Darko Pucar, & Mehran M. Sadeghi. (2022). Radiotracers to Address Unmet Clinical Needs in Cardiovascular Imaging, Part 1: Technical Considerations and Perfusion and Neuronal Imaging.. PubMed. 63(5). 649–658. 5 indexed citations
17.
Kwan, Jennifer M., et al.. (2017). Donor and Recipient Ethnicity Impacts Renal Graft Adverse Outcomes. Journal of Racial and Ethnic Health Disparities. 5(5). 1003–1013. 7 indexed citations
18.
Nakajima, Takeshi, Jinghong Li, Halvor S. McGee, et al.. (2014). T Cells and Lung Injury. Impact of Rapamycin. American Journal of Respiratory Cell and Molecular Biology. 51(2). 294–299. 16 indexed citations
19.
Choi, Si Ho, Hyang‐Min Byun, Jennifer M. Kwan, Jean‐Pierre J. Issa, & Allen S. Yang. (2007). Hydroxycarbamide in combination with azacitidine or decitabine is antagonistic on DNA methylation inhibition. British Journal of Haematology. 138(5). 616–623. 28 indexed citations
20.
Wong, Hui‐Lee, Hyang‐Min Byun, Jennifer M. Kwan, et al.. (2006). Rapid and Quantitative Method of Allele-Specific DNA Methylation Analysis. BioTechniques. 41(6). 734–739. 31 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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