Xue Song

2.0k citations
77 papers · 1.6k indexed · h-index 23
Topics
Health Systems, Economic Evaluations, Quality of Life (13 papers)Atrial Fibrillation Management and Outcomes (13 papers)Blood Pressure and Hypertension Studies (7 papers)
Journals
SHILAP Revista de lepidopterologíaBloodGastroenterology

In The Last Decade

Xue Song

74 papers receiving 1.5k citations

Peers

Xue Song
Comparison fields: 5 of 128
  • Molecular Biology 403
  • Biomedical Engineering 291
  • Cardiology and Cardiovascular Medicine 231
  • Hematology 224
  • Oncology 199
Replace Reimer Rießen with:
Reimer Rießen Germany
Mark Silverberg United States
June M. McKoy United States
Aarón Sulkes Israel
Jules Lin United States
Roberto Coppola Italy
Pablo Lázaro Spain
Lova Sun United States
Anand B. Karnad United States
T. Urban France
Xue Song relative to Reimer Rießen Germany Reimer Rießen's profile →
Citations per field
00.5×1.5×2.2×
Reimer Rießen · 1×
Citations per year

Countries citing papers authored by Xue Song

Since Specialization
Citations

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

Fields of papers citing papers by Xue Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xue Song. A scholar is included among the top collaborators of Xue 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 Xue Song. Xue 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
#WorkIndexed citations
1 0
2 7
3 2
4 20
5 1
6 4
7 1
8 1
9 49
10 4
11 1
12 5
13 67
14 63
15 81
16
Costs of Treatment and Clinical Events for Secondary Hyperparathyroidism
8
17 23
18 11
19 31
20 58

About Xue Song

Xue Song is a scholar working on Genetics, Hematology and Cardiology and Cardiovascular Medicine, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (13 papers), Atrial Fibrillation Management and Outcomes (13 papers) and Blood Pressure and Hypertension Studies (7 papers). The work is most often cited by research in Hematology (224 citations), Internal Medicine (75 citations) and Family Practice (43 citations). Xue Song has collaborated with scholars based in United States, Czechia and Switzerland. Frequent co-authors include Jiřı́ Homola, Maria Laura Ermini, Tomáš Špringer, Ze Cong, Kathleen Wilson, Ivana Víšová, Gilwan Kim, Hana Vaisocherová‐Lísalová, David M. Smith and Barbara H. Johnson. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.

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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