Jiaqiang Ren

2.5k citations
50 papers · 1.9k indexed · h-index 26
  • Genetics top 2%
    • Mesenchymal stem cell research 18
    • Virus-based gene therapy research 5
  • Oncology top 5%
    • CAR-T cell therapy research 12
    • Cancer Cells and Metastasis 8
    • MicroRNA in disease regulation 5
  • Immunology top 5%
    • Immunotherapy and Immune Responses 8
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 12
    • RNA Interference and Gene Delivery 6

Jiaqiang Ren

50 papers receiving 1.9k citations

Peers

Jiaqiang Ren
Comparison fields: 5 of 107
  • Genetics 479
  • Oncology 635
  • Cancer Research 342
  • Immunology 443
  • Hematology 209
Replace Matti Korhonen with:
Matti Korhonen Finland
Monique M.A. Verstegen Netherlands
Jianyu Weng China
René Rodrı́guez Spain
Rebekka Wehner Germany
Riccardo Ferracini Italy
Marta Baiocchi Italy
Alla Danilkovitch‐Miagkova United States
Marta Serafini Italy
Selim Kuçi Germany
Jiaqiang Ren relative to Matti Korhonen Finland Matti Korhonen's profile →
Citations per field
00.5×1.5×
Matti Korhonen · 1×
Citations per year

Countries citing papers authored by Jiaqiang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jiaqiang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jiaqiang Ren, 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 Jiaqiang Ren Line = papers co-authored together Jiaqiang Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20241
3 20241
4 20231
5 20234
6 201723
7 201755
8 201670
9 201440
10 201414
11 201322
12 201352
13 201247
14 201233
15 201236
16 2010112
17 201083
18 2009149
19 200943
20 200959

About Jiaqiang Ren

Jiaqiang Ren is a scholar working on Genetics, Hematology and Oncology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (18 papers), Hematopoietic Stem Cell Transplantation (12 papers), CAR-T cell therapy research (12 papers), Cancer Cells and Metastasis (8 papers), Immunotherapy and Immune Responses (8 papers), RNA Interference and Gene Delivery (6 papers), Virus-based gene therapy research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Genetics (479 citations), Oncology (635 citations) and Cancer Research (342 citations). Jiaqiang Ren has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include David F. Stroncek, Ping Jin, Ena Wang, Francesco M. Marincola, Marianna Sabatino, Pamela Gehron Robey, Hanh Khuu, Sergei A. Kuznetsov, Daniel W. Lee and Crystal L. Mackall. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

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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