Ming Jiang

1.8k citations
65 papers · 1.2k · 1 hit paper · h-index 19

Impact in

Papers in

Ming Jiang

58 papers receiving 1.2k citations

Ming Jiang's Hit Papers

Consensus on the monitoring, treatment, and prevention of leukaemia relapse after allogeneic haematopoietic stem cell transplantation in China: 2024 update 2024 · 56 citations
560+1Years since publication1020304050

Peers

Ming Jiang
Comparison fields: 5 of 99
  • Pathology and Forensic Medicine 338
  • Oncology 320
  • Hematology 127
  • Cancer Research 151
  • Immunology 185
Replace Yasushi Hamaya with:
Yasushi Hamaya Japan
I‐Ping Chiang Taiwan
Yasuyoshi Naishiro Japan
Fikri İçlı Türkiye
Anne Crilly United Kingdom
Verena De Angelis Italy
Masahide Mori Japan
Carlos Chiattone Brazil
Maria Bai Greece
Yinghua Zhang China
Ming Jiang relative to Yasushi Hamaya Japan Yasushi Hamaya's profile →
Citations per field
00.5×2.5×
Yasushi Hamaya · 1×
Citations per year

Countries citing papers authored by Ming Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009185
2 2011104
3 200983
4 201682
5 201065
6
Consensus on the monitoring, treatment, and prevention of leukaemia relapse after allogeneic haematopoietic stem cell transplantation in China: 2024 update
Hit paper breakdown →
202456
7 201048
8 201538
9 202434
10 202033
11 201532
12 201524
13 201023
14 201323
15 201722
16 201521
17 201218
18 202318
19 202418
20 201815

About Ming Jiang

Ming Jiang is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Cancer Research and Molecular Biology, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Viral-associated cancers and disorders (7 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer Cells and Metastasis (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Immune cells in cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (338 citations), Oncology (320 citations), Hematology (127 citations), Cancer Research (151 citations) and Immunology (185 citations). Ming Jiang has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Dan Cao, Hongfeng Gou, Liqun Zou, Mei Hou, Yong‐Song Guan, Yang Yu, Yu Jiang, Xi Yan, Yu Yang and Feng Luo. Their work appears in journals such as Medical Oncology, Blood, Oncotarget, Frontiers in Oncology and Journal of Clinical Oncology.

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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