Mengjia Song

2.9k citations
35 papers · 1.7k indexed · 1 hit paper · h-index 15
Topics
Cancer Immunotherapy and Biomarkers (9 papers)Immune Cell Function and Interaction (7 papers)CAR-T cell therapy research (5 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Immunology

In The Last Decade

Mengjia Song

33 papers receiving 1.7k citations

Hit Papers

Roles of IFN-γ in tumor progression and regression: a review20202026202220242020250500750

Peers

Mengjia Song
Comparison fields: 5 of 109
  • Immunology 819
  • Oncology 742
  • Molecular Biology 589
  • Cancer Research 260
  • Pulmonary and Respiratory Medicine 227
Replace Chunxiao Li with:
Chunxiao Li China
Yuzhu Hou China
Navid Shomali Iran
Jennifer L. Guerriero United States
Degao Chen China
Amir Baghbanzadeh Iran
Keunhee Oh South Korea
Ting Wu China
Xianlu Zeng China
Hazem Ghebeh Saudi Arabia
Mengjia Song relative to Chunxiao Li China Chunxiao Li's profile →
Citations per field
00.5×1.5×
Chunxiao Li · 1×
Citations per year

Countries citing papers authored by Mengjia Song

Since Specialization
Citations

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

Fields of papers citing papers by Mengjia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengjia Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mengjia Song. A scholar is included among the top collaborators of Mengjia 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 Mengjia Song. Mengjia 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 20
3 9
4 6
5 19
6 3
7 7
8 12
9 3
10 13
11 2
12 35
13 23
14
Roles of IFN-γ in tumor progression and regression: a reviewbreakdown →
790
15 51
16 62
17 113
18 76
19 2
20 245

About Mengjia Song

Mengjia Song is a scholar working on Cancer Research, Oncology and Immunology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immune Cell Function and Interaction (7 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (819 citations), Oncology (742 citations) and Cancer Research (260 citations). Mengjia Song has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Yi Zhang, Liping Wang, Dragica Jorgovanović, Xinfeng Chen, Bin Zhang, Jian‐Chuan Xia, Chaoqi Zhang, Shaoyan Cheng, Shasha Liu and Desheng Weng. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026