Junshan Qiu

1.1k citations
20 papers · 447 · h-index 9

Impact in

    • Statistical Methods in Clinical Trials
    • Advanced Causal Inference Techniques
    • Statistical Methods and Inference
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

Junshan Qiu

19 papers receiving 442 citations

Peers

Junshan Qiu
Comparison fields: 5 of 75
  • Statistics and Probability 135
  • Hematology 73
  • Oncology 119
  • Genetics 32
  • Radiology, Nuclear Medicine and Imaging 54
Replace Cynthia Basu with:
Cynthia Basu United States
Pierre Squifflet Belgium
Nathalie Varoqueaux France
C.E. Newman United Kingdom
Qui Tran United States
Joseph C. Del Paggio Canada
Paul M. Diderichsen United States
Chana Weinstock United States
Herbert Struemper United States
C. Le Tourneau France
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Citations per field
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Cynthia Basu · 1×
Citations per year

Countries citing papers authored by Junshan Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Junshan Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021124
2 201996
3 201759
4 201953
5 201729
6 199813
7 202012
8 20239
9 20189
10 20158
11 20198
12 20196
13 20194
14 20094
15 20174
16 20233
17 20193
18 20202
19
Determination of Oxytetracycline Absorption and Effectiveness against Aeromonas salmonicidain Rainbow Trout ( Oncorhynchus mykiss )
20161
20 20220

About Junshan Qiu

Junshan Qiu is a scholar working on Statistics and Probability, Economics and Econometrics, Molecular Biology, Oncology and Materials Chemistry, having authored 20 papers that have together received 447 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Microstructure and mechanical properties (2 papers), Titanium Alloys Microstructure and Properties (2 papers), Metallurgy and Material Forming (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Statistics and Probability (135 citations), Hematology (73 citations), Oncology (119 citations), Genetics (32 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Junshan Qiu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Marc Vandemeulebroecke, Gaohong Dong, Duolao Wang, Kirsten B. Goldberg, Richard Pazdur, Xiaodong Luo, Hong Tian, Roland Matsouaka, David C. Hoaglin and Yu‐Wei Chang. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Biopharmaceutical Research, Statistics in Medicine, Clinical Cancer Research and Therapeutic Innovation & Regulatory Science.

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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