D.-W. Kim

1.1k total citations · 1 hit paper
5 papers, 590 citations indexed

About

D.-W. Kim is a scholar working on Hematology, Genetics and Rheumatology. According to data from OpenAlex, D.-W. Kim has authored 5 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Genetics and 3 papers in Rheumatology. Recurrent topics in D.-W. Kim's work include Chronic Myeloid Leukemia Treatments (5 papers), Eosinophilic Disorders and Syndromes (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). D.-W. Kim is often cited by papers focused on Chronic Myeloid Leukemia Treatments (5 papers), Eosinophilic Disorders and Syndromes (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). D.-W. Kim collaborates with scholars based in South Korea, United States and France. D.-W. Kim's co-authors include Andreas Hochhaus, Delphine Réa, Massimo Breccia, Michele Baccarani, P. Le Coutre, Dragana Milojković, Gianantonio Rosti, Richard E. Clark, Susanne Saußele and R. Hehlmann and has published in prestigious journals such as Annals of Oncology, Leukemia and Haematologica.

In The Last Decade

D.-W. Kim

5 papers receiving 573 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

European LeukemiaNet recommendations for the management and avoidance of adverse events of treatment in chronic myeloid leukaemia

2016 330 citations Juan Luis Steegmann, Michele Baccarani et al. Leukemia profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
D.-W. Kim	527	406	252	106	90	5	590
D-W Kim	767 1.5×	601 1.5×	369 1.5×	144 1.4×	69 0.8×	4	821
Marie‐Pierre Noël	712 1.4×	612 1.5×	314 1.2×	163 1.5×	70 0.8×	15	786
А К Голенков	369 0.7×	239 0.6×	185 0.7×	104 1.0×	28 0.3×	16	451
Heather A. Bradeen	262 0.5×	217 0.5×	168 0.7×	65 0.6×	52 0.6×	7	400
Perttu Koskenvesa	366 0.7×	291 0.7×	129 0.5×	112 1.1×	40 0.4×	29	461
Arta Dreimane	296 0.6×	246 0.6×	123 0.5×	74 0.7×	50 0.6×	17	347
Emilia Scalzulli	271 0.5×	159 0.4×	52 0.2×	90 0.8×	28 0.3×	60	358
Armin Leitner	342 0.6×	303 0.7×	210 0.8×	105 1.0×	28 0.3×	13	451
Dushyant Verma	415 0.8×	289 0.7×	112 0.4×	51 0.5×	75 0.8×	14	486
DK Hossfeld	467 0.9×	359 0.9×	205 0.8×	44 0.4×	104 1.2×	15	535

Countries citing papers authored by D.-W. Kim

Since Specialization

Citations

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

Fields of papers citing papers by D.-W. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.-W. Kim. 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 D.-W. Kim. The network helps show where D.-W. Kim may publish in the future.

Co-authorship network of co-authors of D.-W. Kim

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

All Works

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5 of 5 papers shown

Mauro, Michael J., D.-W. Kim, Jörge E. Cortes, et al.. (2019). S884 COMBINATION OF ASCIMINIB PLUS NILOTINIB (NIL) OR DASATINIB (DAS) IN PATIENTS (PTS) WITH CHRONIC MYELOID LEUKEMIA (CML): RESULTS FROM A PHASE 1 STUDY. HemaSphere. 3(S1). 397–398. 13 indexed citations

Yhim, Ho‐Young, Jae‐Yong Kwak, Jae‐Sook Ahn, et al.. (2016). Minimal residual disease-based effect and long-term outcome of first-line dasatinib combined with chemotherapy for adult Philadelphia chromosome-positive acute lymphoblastic leukemia. Annals of Oncology. 27(6). 1081–1088. 48 indexed citations

Steegmann, Juan Luis, Michele Baccarani, Massimo Breccia, et al.. (2016). European LeukemiaNet recommendations for the management and avoidance of adverse events of treatment in chronic myeloid leukaemia. Leukemia. 30(8). 1648–1671. 330 indexed citations breakdown →

Kim, Tae‐Min, H K Kim, Jae Won Yoo, et al.. (2011). Gene expression signatures associated with the in vitro resistance to two tyrosine kinase inhibitors, nilotinib and imatinib. Blood Cancer Journal. 1(8). e32–e32. 19 indexed citations

Shah, Neha, D.-W. Kim, Hagop M. Kantarjian, et al.. (2010). Potent, transient inhibition of BCR-ABL with dasatinib 100 mg daily achieves rapid and durable cytogenetic responses and high transformation-free survival rates in chronic phase chronic myeloid leukemia patients with resistance, suboptimal response or intolerance to imatinib. Haematologica. 95(2). 232–240. 180 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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