Mengjia Song

2.9k citations
35 papers · 1.7k indexed · 1 hit paper · h-index 15
  • Immunology top 5%
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 3
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers 9
    • CAR-T cell therapy research 5
    • Cancer, Hypoxia, and Metabolism 4
    • Cancer-related molecular mechanisms research 3
    • RNA modifications and cancer 5
    • Neuroblastoma Research and Treatments 4

Mengjia Song

33 papers receiving 1.7k citations

Hit Papers

Roles of IFN-γ in tumor progression and regression: a review7902020202620222024250500750

Peers

Mengjia Song
Comparison fields: 5 of 109
  • Immunology 819
  • Oncology 742
  • Cancer Research 260
  • Molecular Biology 589
  • Biotechnology 61
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

The 25 scholars most cited alongside Mengjia Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengjia Song Line = papers co-authored together Mengjia Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202420
3 20249
4 20246
5 202419
6 20243
7 20247
8 202312
9 20233
10 202313
11 20232
12 202235
13 202223
14
Roles of IFN-γ in tumor progression and regression: a reviewbreakdown →
2020790
15 202051
16 202062
17 2019113
18 201876
19 20182
20 2016245

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), CAR-T cell therapy research (5 papers), RNA modifications and cancer (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Neuroblastoma Research and Treatments (4 papers), Immunotherapy and Immune Responses (3 papers) and Cancer-related molecular mechanisms research (3 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.

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2026