Jeeyeon Baik

707 total citations
18 papers, 151 citations indexed

About

Jeeyeon Baik is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Jeeyeon Baik has authored 18 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Jeeyeon Baik's work include Acute Myeloid Leukemia Research (8 papers), CAR-T cell therapy research (6 papers) and Lymphoma Diagnosis and Treatment (6 papers). Jeeyeon Baik is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), CAR-T cell therapy research (6 papers) and Lymphoma Diagnosis and Treatment (6 papers). Jeeyeon Baik collaborates with scholars based in United States, Singapore and France. Jeeyeon Baik's co-authors include Mikhail Roshal, Ahmet Doǧan, Wenbin Xiao, Yanming Zhang, Maria E. Arcila, Qi Gao, Natasha Lewis, Kseniya Petrova‐Drus, Alison J. Moskowitz and Anita Kumar and has published in prestigious journals such as Blood, Oncogene and The American Journal of Surgical Pathology.

In The Last Decade

Jeeyeon Baik

15 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeeyeon Baik United States 6 76 73 61 33 31 18 151
Kseniya Petrova‐Drus United States 7 54 0.7× 80 1.1× 53 0.9× 29 0.9× 43 1.4× 20 183
Ana Batlle Spain 7 115 1.5× 151 2.1× 45 0.7× 51 1.5× 58 1.9× 15 248
Fatima Zahra Jelloul United States 8 63 0.8× 29 0.4× 92 1.5× 61 1.8× 34 1.1× 32 172
Deepak Vangala Germany 8 62 0.8× 90 1.2× 66 1.1× 41 1.2× 34 1.1× 22 212
Arturo Bonometti Italy 9 34 0.4× 43 0.6× 50 0.8× 28 0.8× 63 2.0× 34 185
Sébastian Wittnebel France 9 136 1.8× 80 1.1× 81 1.3× 35 1.1× 37 1.2× 19 260
Takayasu Kato Japan 6 45 0.6× 94 1.3× 39 0.6× 32 1.0× 44 1.4× 25 159
Delia Rota‐Scalabrini Italy 8 133 1.8× 118 1.6× 112 1.8× 85 2.6× 76 2.5× 12 252
Caoimhe Egan United States 6 88 1.2× 118 1.6× 8 0.1× 24 0.7× 45 1.5× 12 189
Stefano Pulini Italy 6 38 0.5× 78 1.1× 67 1.1× 65 2.0× 13 0.4× 24 192

Countries citing papers authored by Jeeyeon Baik

Since Specialization
Citations

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

Fields of papers citing papers by Jeeyeon Baik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeeyeon Baik

This figure shows the co-authorship network connecting the top 25 collaborators of Jeeyeon Baik. A scholar is included among the top collaborators of Jeeyeon Baik 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 Jeeyeon Baik. Jeeyeon Baik 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
2.
Gao, Qi, Ying Liu, Umut Aypar, et al.. (2023). Highly sensitive single tube B‐lymphoblastic leukemia/lymphoma minimal/measurable residual disease test robust to surface antigen directed therapy. Cytometry Part B Clinical Cytometry. 104(4). 279–293. 8 indexed citations
3.
Sun, Shenghuan, Linlin Wang, Fabienne Lucas, et al.. (2023). Deep Learning for Morphology-Based, Bone Marrow Cell Classification. Blood. 142(Supplement 1). 2841–2841.
4.
Daker, Sary El, Jeeyeon Baik, Ahmet Doǧan, et al.. (2022). High-Resolution Single Cell T-Cell Phenotyping of B-Cell Lineage Lymphomas Reveals Unique Immune Signatures and Potential Targetable Vulnerabilities. Blood. 140(Supplement 1). 3570–3572. 2 indexed citations
5.
Lewis, Natasha, Qi Gao, Kseniya Petrova‐Drus, et al.. (2022). PD‐1 improves accurate detection of Sezary cells by flow cytometry in peripheral blood in mycosis fungoides/Sezary syndrome. Cytometry Part B Clinical Cytometry. 102(3). 189–198. 6 indexed citations
6.
Chan, Alexander, Ying Liu, Sean M. Devlin, et al.. (2022). Reduced Plasmacytoid Dendritic Cell Output Is Associated With High Risk in Low-grade Myelodysplastic Syndrome. HemaSphere. 6(2). e685–e685. 5 indexed citations
7.
Galera, Pallavi, David Qualls, Umut Aypar, et al.. (2022). BCL6 Rearranged Indolent B-Cell Lymphomas Show Mutational Profile Similar to Marginal Zone Lymphomas. Blood. 140(Supplement 1). 6396–6398. 1 indexed citations
8.
Chan, Alexander, Priyadarshini Kumar, Qi Gao, et al.. (2021). Abnormal B‐lymphoblasts in myelodysplastic syndromes and myeloproliferative neoplasms other than chronic myeloid leukemia. Cytometry Part B Clinical Cytometry. 104(3). 243–252. 1 indexed citations
9.
Lewis, Natasha, Kseniya Petrova‐Drus, Sarah Huet, et al.. (2020). Clonal hematopoiesis in angioimmunoblastic T-cell lymphoma with divergent evolution to myeloid neoplasms. Blood Advances. 4(10). 2261–2271. 66 indexed citations
10.
Yoshimi, Akihide, Tanya Trippett, Nan Zhang, et al.. (2020). Genetic basis for iMCD-TAFRO. Oncogene. 39(15). 3218–3225. 18 indexed citations
11.
Liu, Ying, Fatima Zahra Jelloul, Yanming Zhang, et al.. (2020). Genetic Basis of Extramedullary Plasmablastic Transformation of Multiple Myeloma. The American Journal of Surgical Pathology. 44(6). 838–848. 26 indexed citations
12.
Petrova‐Drus, Kseniya, Connie Lee Batlevi, Maria E. Arcila, et al.. (2019). Divergent clonal evolution of a common precursor to mantle cell lymphoma and classic Hodgkin lymphoma. Molecular Case Studies. 5(6). a004259–a004259. 8 indexed citations
14.
Xiao, Wenbin, Kamal Menghrajani, Christopher Famulare, et al.. (2019). Acute Leukemia with Lineage Infidelity: Mixed Phenotype AML Exhibits a Distinct Immunophenotype with Clinical Features Overlapping Mixed Phenotype Acute Leukemia. Blood. 134(Supplement_1). 2718–2718. 1 indexed citations
15.
Chan, Alexander, Yanming Zhang, Sean M. Devlin, et al.. (2019). Plasmacytoid Dendritic Cell Proportion Is Predictive of Risk and Outcomes in Myelodysplastic Syndromes. Blood. 134(Supplement_1). 5439–5439. 1 indexed citations
16.
Xiao, Wenbin, Mariko Yabe, Michael Offin, et al.. (2018). Evolution of a chemosensitive core-binding factor AML into an aggressive leukemia with eosinophilic differentiation. Blood Advances. 2(13). 1517–1521. 2 indexed citations
17.
Yabe, Mariko, Natasha Lewis, Qi Gao, et al.. (2018). Circulating Lymphoma Cells in Mycosis Fungoides/Sezary Syndrome Show Heterogeneity of the Cell-of-Origin and Variable PD-1 Expression By Flow Cytometric Analysis. Blood. 132(Supplement 1). 1624–1624. 1 indexed citations
18.
Xiao, Wenbin, Aaron D. Goldberg, Christopher Famulare, et al.. (2018). Acute Myeloid Leukemia with Plasmacytoid Dendritic Cell Differentiation: Predominantly Secondary AML, Enriched for RUNX1 Mutations, Frequent Cross-Lineage Antigen Expression and Poor Prognosis. Blood. 132(Supplement 1). 2789–2789. 5 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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