Shenglan Gong

641 citations
30 papers · 447 indexed · h-index 11
Topics
Acute Myeloid Leukemia Research (10 papers)Chronic Myeloid Leukemia Treatments (5 papers)Acute Lymphoblastic Leukemia research (5 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Shenglan Gong

26 papers receiving 441 citations

Peers

Shenglan Gong
Comparison fields: 5 of 64
  • Molecular Biology 286
  • Hematology 180
  • Oncology 118
  • Epidemiology 67
  • Public Health, Environmental and Occupational Health 46
Replace Lidija Dokmanović with:
Lidija Dokmanović Serbia
P. C. Hoffman United States
Manali Rupji United States
Baohua Qian China
José González Spain
Beihui Huang China
Xuzhang Lu China
Ming Hou China
Rika Kasajima Japan
P Pagliaro Italy
Shenglan Gong relative to Lidija Dokmanović Serbia Lidija Dokmanović's profile →
Citations per field
00.5×3.0×
Lidija Dokmanović · 1×
Citations per year

Countries citing papers authored by Shenglan Gong

Since Specialization
Citations

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

Fields of papers citing papers by Shenglan Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglan Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglan Gong. A scholar is included among the top collaborators of Shenglan Gong 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 Shenglan Gong. Shenglan Gong 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 0
3 10
4 1
5 1
6 4
7 33
8 3
9 9
10 1
11 18
12 7
13 10
14 15
15 16
16
[A novel single nucleotide polymorphism-based method for quantitative assessment of chimerism after allogeneic stem cell transplantation.].
2
17
[Clinical and laboratory study of myleodysplastic syndrome (MDS)/myeloproliferative neoplasm (MPN) with PDGFRβ abnormalities].
0
18 67
19 71
20 4

About Shenglan Gong

Shenglan Gong is a scholar working on Hematology, Biological Psychiatry and Pathology and Forensic Medicine, having authored 30 papers that have together received 447 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (180 citations), Oncology (118 citations) and Molecular Biology (286 citations). Shenglan Gong has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jianmin Yang, Shuqing Lü, Hong Zhou, Jianmin Wang, Zhilong Chen, Lieping Guo, Xiaoxia Hu, Li Chen, Pingping Chen and Xianmin Song. Their work appears in journals such as Blood, Journal of Pharmacology and Experimental Therapeutics and Journal of Ethnopharmacology.

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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