Gong Yun

2.2k citations
7 papers · 1.7k indexed · 1 hit paper · h-index 6
Topics
Immune Cell Function and Interaction (6 papers)T-cell and B-cell Immunology (5 papers)Hematopoietic Stem Cell Transplantation (2 papers)

In The Last Decade

Gong Yun

7 papers receiving 1.6k citations

Hit Papers

Successful adoptive transfer and in vivo expansion of hum...200520262012201920054008001.2k

Peers

Gong Yun
Comparison fields: 5 of 66
  • Immunology 1.5k
  • Oncology 978
  • Hematology 516
  • Molecular Biology 181
  • Genetics 92
Replace Yvette Soignier with:
Yvette Soignier United States
Ian J. Okazaki United States
Susan K. Fautsch United States
Petja Lefterova Germany
Brea A. Jewell United States
Michelle Gleason United States
Sara Abdel-Latif United States
Teresa Rasalan United States
Hanny Fredrix Netherlands
Jooeun Bae United States
Gong Yun relative to Yvette Soignier United States Yvette Soignier's profile →
Citations per field
00.5×1.5×
Yvette Soignier · 1×
Citations per year

Countries citing papers authored by Gong Yun

Since Specialization
Citations

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

Fields of papers citing papers by Gong Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gong Yun

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 53
2 79
3 36
4 11
5 55
6
Successful adoptive transfer and in vivo expansion of human haploidentical NK cells in patients with cancerbreakdown →
1428
7
NF-kB and neurodegenerative disorder in central nervous system
1

About Gong Yun

Gong Yun is a scholar working on Immunology, Hematology and Neurology, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (1.5k citations), Hematology (516 citations) and Oncology (978 citations). Gong Yun has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Jeffrey S. Miller, Philip B. McGlave, Angela Panoskaltsis‐Mortari, John E. Wagner, Bruce R. Blazar, Ian J. Okazaki, Arne Slungaard, Paul J. Orchard, Yvette Soignier and Todd E. DeFor. Their work appears in journals such as Blood, The Journal of Immunology and Journal of Proteome Research.

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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