Song Jin

136 total papers · 1.2k total citations
68 papers, 616 citations indexed

About

Song Jin is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Song Jin has authored 68 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hematology, 24 papers in Molecular Biology and 21 papers in Oncology. Recurrent topics in Song Jin's work include Multiple Myeloma Research and Treatments (26 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Acute Myeloid Leukemia Research (8 papers). Song Jin is often cited by papers focused on Multiple Myeloma Research and Treatments (26 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Acute Myeloid Leukemia Research (8 papers). Song Jin collaborates with scholars based in China, South Korea and United States. Song Jin's co-authors include Xiao‐Jun Huang, Depei Wu, D-H Liu, Sujun Gao, Linghui Xia, K-Y Liu, Lingzhi Yan, Ming Jiang, L-P Xu and Chengcheng Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Song Jin

54 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Song Jin 346 262 188 112 92 68 616
Amer Beitinjaneh 284 0.8× 332 1.3× 146 0.8× 84 0.8× 105 1.1× 64 689
Mattia Algeri 287 0.8× 218 0.8× 169 0.9× 119 1.1× 205 2.2× 55 669
Samer A. Srour 310 0.9× 351 1.3× 135 0.7× 96 0.9× 147 1.6× 96 659
Zhengming Jin 320 0.9× 263 1.0× 119 0.6× 160 1.4× 124 1.3× 96 648
Christoph Scheid 358 1.0× 153 0.6× 151 0.8× 148 1.3× 65 0.7× 37 570
Cai‐Wen Duan 193 0.6× 117 0.4× 229 1.2× 117 1.0× 138 1.5× 35 636
Asmita Mishra 403 1.2× 228 0.9× 186 1.0× 86 0.8× 72 0.8× 63 662
Leyla Shune 332 1.0× 396 1.5× 202 1.1× 42 0.4× 97 1.1× 102 666
Ayman Saad 238 0.7× 263 1.0× 86 0.5× 38 0.3× 149 1.6× 76 566
Elliot Stieglitz 284 0.8× 90 0.3× 242 1.3× 127 1.1× 55 0.6× 57 524

Countries citing papers authored by Song Jin

Since Specialization
Citations

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

Fields of papers citing papers by Song Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Jin

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

All Works

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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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