Jiang Liu

3.2k citations
43 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
Statistical Methods in Clinical Trials (7 papers)Pharmaceutical studies and practices (6 papers)Pharmacogenetics and Drug Metabolism (5 papers)

In The Last Decade

Jiang Liu

37 papers receiving 1.5k citations

Hit Papers

FDA Approval Summary: (Daunorubicin and Cytarabine) Lipos...2018202620202023201850100150200250

Peers

Jiang Liu
Comparison fields: 5 of 112
  • Oncology 446
  • Molecular Biology 426
  • Immunology 227
  • Cardiology and Cardiovascular Medicine 165
  • Radiology, Nuclear Medicine and Imaging 162
Replace Sukyung Woo with:
Sukyung Woo United States
Dinesh P. de Alwis United States
François Lokiec France
Stijn L.W. Koolen Netherlands
Maja J.A. de Jonge Netherlands
David A. Van Echo United States
Haleh Saber United States
Sihem Ait‐Oudhia United States
Albert J. ten Tije Netherlands
Gerald J. Fetterly United States
Jiang Liu relative to Sukyung Woo United States Sukyung Woo's profile →
Citations per field
00.5×
Sukyung Woo · 1×
Citations per year

Countries citing papers authored by Jiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Liu. A scholar is included among the top collaborators of Jiang Liu 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 Jiang Liu. Jiang Liu 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 1
2 3
3 7
4 14
5 0
6 2
7 0
8 23
9 0
10 97
11 1
12 13
13 9
14
FDA Approval Summary: (Daunorubicin and Cytarabine) Liposome for Injection for the Treatment of Adults with High-Risk Acute Myeloid Leukemiabreakdown →
252
15 15
16 189
17 170
18 9
19 112
20 12

About Jiang Liu

Jiang Liu is a scholar working on Statistics and Probability, Pharmacology and Hepatology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (7 papers), Pharmaceutical studies and practices (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Statistics and Probability (152 citations), Oncology (446 citations) and Hematology (146 citations). Jiang Liu has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Richard Pazdur, Yaning Wang, Ann T. Farrell, Donna Przepiorka, Christine Garnett, Jee Eun Lee, Kelly J. Norsworthy, Chia‐Wen Ko, Christy S. John and Kirsten B. Goldberg. Their work appears in journals such as Journal of Clinical Oncology, Hepatology and Clinical Infectious Diseases.

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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