S. J. Lee

1.3k total citations
22 papers, 794 citations indexed

About

S. J. Lee is a scholar working on Hematology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, S. J. Lee has authored 22 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 7 papers in Pediatrics, Perinatology and Child Health and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in S. J. Lee's work include Hematopoietic Stem Cell Transplantation (12 papers), Childhood Cancer Survivors' Quality of Life (7 papers) and Renal Transplantation Outcomes and Treatments (3 papers). S. J. Lee is often cited by papers focused on Hematopoietic Stem Cell Transplantation (12 papers), Childhood Cancer Survivors' Quality of Life (7 papers) and Renal Transplantation Outcomes and Treatments (3 papers). S. J. Lee collaborates with scholars based in United States, Canada and United Kingdom. S. J. Lee's co-authors include X. Chai, Daniel Wolff, Ánita Lawitschka, S.Ž. Pavletić, Steven Z. Pavletic, Joseph Pidala, H Bertz, Oliver Grauer, H. Greinix and J. Kühl and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Brain.

In The Last Decade

S. J. Lee

22 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. J. Lee United States 17 517 192 182 170 136 22 794
Vaneuza Araújo Moreira Funke Brazil 14 431 0.8× 176 0.9× 111 0.6× 130 0.8× 84 0.6× 61 646
Óscar González‐Llano Mexico 19 588 1.1× 165 0.9× 284 1.6× 199 1.2× 167 1.2× 71 924
Marco Rabusin Italy 15 359 0.7× 125 0.7× 213 1.2× 88 0.5× 123 0.9× 43 818
Christine Bender‐Götze Germany 11 620 1.2× 184 1.0× 256 1.4× 109 0.6× 190 1.4× 15 999
Gabriele Strauß Germany 17 636 1.2× 92 0.5× 158 0.9× 227 1.3× 139 1.0× 42 1.2k
Gita Massey United States 14 678 1.3× 79 0.4× 308 1.7× 162 1.0× 177 1.3× 40 1.1k
L. de Lumley France 20 300 0.6× 141 0.7× 270 1.5× 139 0.8× 266 2.0× 45 1.0k
Thomas Kiss Canada 19 756 1.5× 374 1.9× 168 0.9× 275 1.6× 111 0.8× 76 1.3k
Ram Kumar Marwaha India 17 342 0.7× 138 0.7× 192 1.1× 248 1.5× 188 1.4× 73 904
H T Kim United States 10 279 0.5× 170 0.9× 100 0.5× 103 0.6× 103 0.8× 11 670

Countries citing papers authored by S. J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Lee. 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 S. J. Lee. The network helps show where S. J. Lee may publish in the future.

Co-authorship network of co-authors of S. J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Lee. A scholar is included among the top collaborators of S. J. Lee 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 S. J. Lee. S. J. Lee 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
1.
Wolff, Daniel, Hildegard Greinix, S. J. Lee, et al.. (2018). Biomarkers in chronic graft-versus-host disease: quo vadis?. Bone Marrow Transplantation. 53(7). 832–837. 44 indexed citations
2.
Denzen, Ellen M., Viengneesee Thao, Theresa Hahn, et al.. (2016). Financial impact of allogeneic hematopoietic cell transplantation on patients and families over 2 years: results from a multicenter pilot study. Bone Marrow Transplantation. 51(9). 1233–1240. 30 indexed citations
3.
Marino, Susana R., T.A. Binkowski, Michael Haagenson, et al.. (2016). Identification of high-risk amino-acid substitutions in hematopoietic cell transplantation: a challenging task. Bone Marrow Transplantation. 51(10). 1342–1349. 7 indexed citations
4.
Abel, Gregory A., Fabio Efficace, Rena Buckstein, et al.. (2016). Prospective international validation of the Quality of Life in Myelodysplasia Scale (QUALMS). Haematologica. 101(6). 781–788. 45 indexed citations
5.
Palmer, Joycelynne, X. Chai, Paul J. Martin, et al.. (2015). Failure-free survival in a prospective cohort of patients with chronic graft-versus-host disease. Haematologica. 100(5). 690–695. 22 indexed citations
6.
Martin, Paul J., Barry E. Storer, Joycelynne Palmer, et al.. (2014). Association of severity of organ involvement with mortality and recurrent malignancy in patients with chronic graft-versus-host disease. Haematologica. 99(10). 1618–1623. 22 indexed citations
7.
Wood, William A., Xiaoyu Chai, Daniel Weisdorf, et al.. (2013). Comorbidity burden in patients with chronic GVHD. Bone Marrow Transplantation. 48(11). 1429–1436. 15 indexed citations
8.
Lee, S. J., et al.. (2013). Polymorphism in the Interleukin‐7 Receptor‐alpha and Outcome after Allogeneic Hematopoietic Cell Transplantation with Matched Unrelated Donor. Scandinavian Journal of Immunology. 78(2). 214–220. 20 indexed citations
9.
Arora, Madan L., Joseph Pidala, Corey Cutler, et al.. (2012). Impact of prior acute GVHD on chronic GVHD outcomes: a chronic graft versus host disease consortium study. Leukemia. 27(5). 1196–1201. 16 indexed citations
10.
Pidala, Joseph, Brenda F. Kurland, X. Chai, et al.. (2011). Sensitivity of changes in chronic graft-versus-host disease activity to changes in patient-reported quality of life: results from the Chronic Graft-versus-Host Disease Consortium. Haematologica. 96(10). 1528–1535. 42 indexed citations
12.
Khoury, H. Jean, J M Goldman, Jörg Halter, et al.. (2011). Prognostic factors for outcomes in allogeneic transplantation for CML in the imatinib era: a CIBMTR analysis. Bone Marrow Transplantation. 47(6). 810–816. 62 indexed citations
13.
Walter, Roland B., S. J. Lee, X. Chai, et al.. (2011). Outpatient management following intensive induction chemotherapy for myelodysplastic syndromes and acute myeloid leukemia: a pilot study. Haematologica. 96(6). 914–917. 28 indexed citations
14.
Norman, Brett C., David A. Jacobsohn, Kirsten M. Williams, et al.. (2010). Fluticasone, azithromycin and montelukast therapy in reducing corticosteroid exposure in bronchiolitis obliterans syndrome after allogeneic hematopoietic SCT: a case series of eight patients. Bone Marrow Transplantation. 46(10). 1369–1373. 53 indexed citations
17.
Lee, S. J.. (2004). Physicians' attitudes about quality-of-life issues in hematopoietic stem cell transplantation. Blood. 104(7). 2194–2200. 51 indexed citations
19.
Park, Chae Gyu, Jong‐Il Kim, Jae Ho Lee, et al.. (2000). Serologic responses of Korean soldiers serving in malaria-endemic areas during a recent outbreak of Plasmodium vivax.. American Journal of Tropical Medicine and Hygiene. 62(6). 720–725. 29 indexed citations
20.
Lee, S. J., Henry Francis, K. Awadzi, Eric A. Ottesen, & Thomas B. Nutman. (1990). Changes in Antibody Profile after Treatment of Human Onchocerciasis. The Journal of Infectious Diseases. 162(2). 529–533. 10 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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