Jaewoo Song

6.1k total citations · 1 hit paper
192 papers, 4.2k citations indexed

About

Jaewoo Song is a scholar working on Hematology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Jaewoo Song has authored 192 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Hematology, 46 papers in Pulmonary and Respiratory Medicine and 26 papers in Molecular Biology. Recurrent topics in Jaewoo Song's work include Acute Myeloid Leukemia Research (28 papers), Platelet Disorders and Treatments (22 papers) and Blood properties and coagulation (13 papers). Jaewoo Song is often cited by papers focused on Acute Myeloid Leukemia Research (28 papers), Platelet Disorders and Treatments (22 papers) and Blood properties and coagulation (13 papers). Jaewoo Song collaborates with scholars based in South Korea, United States and Ethiopia. Jaewoo Song's co-authors include Joon Beom Seo, Koun-Sik Song, Eun Jin Chae, Dongsun Kim, Sunghun Kim, Jaechang Nam, Jong Rak Choi, Jin Seong Lee, Tae‐Hwan Lim and Kyung‐Hyun Do and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Applied Physics Letters.

In The Last Decade

Jaewoo Song

186 papers receiving 4.1k citations

Hit Papers

Automatic patch generation learned from human-written pat... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers

Jaewoo Song
Comparison fields: 5 of 163
  • Pulmonary and Respiratory Medicine 1.1k
  • Surgery 597
  • Radiology, Nuclear Medicine and Imaging 591
  • Biomedical Engineering 578
  • Epidemiology 518
Replace Masaki Hara with:
Masaki Hara Japan
Thomas Geiser Switzerland
Eugene P. Frenkel United States
Chun‐Yu Liu Taiwan
Tamiko Takemura Japan
Venkataraman Subramanian United Kingdom
Bin Li China
Kiyoshi Yoshino Japan
Seok Jin Kim South Korea
José M. Oliver Spain
Masaki Hara Japan View profile →
Citations per field, relative to Jaewoo Song
Jaewoo Song · 1×
Citations per year, relative to Jaewoo Song
Jaewoo Song · 1×

Countries citing papers authored by Jaewoo Song

Since Specialization
Citations

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

Fields of papers citing papers by Jaewoo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewoo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jaewoo Song. A scholar is included among the top collaborators of Jaewoo Song 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 Jaewoo Song. Jaewoo Song 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
# Work Indexed citations
1 1
2 1
3 3
4 12
5 2
6 10
7 35
8 22
9 48
10 35
11 8
12 16
13 10
14 31
15
Automatic patch generation learned from human-written patches breakdown →
297
16 9
17 36
18 1
19 59
20
A Case of Gray Platelet Syndrome
1

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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