Tong Zi

957 citations
21 papers · 617 · 1 hit paper · h-index 11

Impact in

Papers in

    • Extracellular vesicles in disease 8
    • Cancer Immunotherapy and Biomarkers 4
    • Cancer Cells and Metastasis 2

Tong Zi

20 papers receiving 593 citations

Hit Papers

Exosome-mediated genetic reprogramming of tumor-associated macrophages by exoASO-STAT6 leads to potent monotherapy antitumor activity 2022 · 190 citations
1900+1+2Years since publication50100150

Peers

Tong Zi
Comparison fields: 5 of 75
  • Cancer Research 167
  • Molecular Medicine 42
  • Immunology 138
  • Pharmaceutical Science 36
  • Molecular Biology 361
Replace Margit M. Janát‐Amsbury with:
Margit M. Janát‐Amsbury United States
Shuaiqiang Zhang China
Gudrun Dandekar Germany
Maohua Cai China
Ken Fukuhara Japan
Jiabei He China
Yan Du China
Diana Whaley United States
Tong Zi relative to Margit M. Janát‐Amsbury United States Margit M. Janát‐Amsbury's profile →
Citations per field
00.5×2.6×
Margit M. Janát‐Amsbury · 1×
Citations per year

Countries citing papers authored by Tong Zi

Since Specialization
Citations

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

Fields of papers citing papers by Tong Zi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exosome-mediated genetic reprogramming of tumor-associated macrophages by exoASO-STAT6 leads to potent monotherapy antitumor activity
Hit paper breakdown →
2022190
2 202079
3 200959
4 201153
5 201750
6 201248
7 202239
8 202124
9 201116
10 201115
11 201413
12 201910
13 20094
14 20204
15 20213
16 20193
17 20203
18 20172
19 20091
20 20161

About Tong Zi

Tong Zi is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 21 papers that have together received 617 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Cancer Immunotherapy and Biomarkers (4 papers), interferon and immune responses (3 papers), Hydrogels: synthesis, properties, applications (3 papers), Immune cells in cancer (3 papers), MicroRNA in disease regulation (2 papers), Cancer Research and Treatments (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (167 citations), Molecular Medicine (42 citations), Immunology (138 citations), Pharmaceutical Science (36 citations) and Molecular Biology (361 citations). Tong Zi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jun Nie, Ruixue Yin, Dongzhi Yang, Sriram Sathyanarayanan, Su Chul Jang, Kyriakos D. Economides, Kevin Dooley, Karl Schmidt, Shil Patel and Christine McCoy. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Research, International Journal of Biological Macromolecules, ACS Chemical Neuroscience and Science Advances.

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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