Ling Jiang

1.9k citations
96 papers · 1.1k · h-index 19

Impact in

Papers in

    • Acute Myeloid Leukemia Research 11
    • Hematopoietic Stem Cell Transplantation 4
    • Chronic Myeloid Leukemia Treatments 4

Ling Jiang

88 papers receiving 1.1k citations

Peers

Ling Jiang
Comparison fields: 5 of 111
  • Gastroenterology 60
  • Hematology 106
  • Obstetrics and Gynecology 66
  • Biological Psychiatry 18
  • Pathology and Forensic Medicine 90
Replace R. Jean Hine with:
R. Jean Hine United States
Lian Chen China
Wolfgang Erwa Austria
Yujing Zhang China
Imran Ali Khan Saudi Arabia
Nora Lee United States
Roberto Vita Italy
Chien‐Liang Chen Taiwan
Sang‐Ah Lee South Korea
Grażyna Adler Poland
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Citations per field
00.5×8.9×
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Citations per year

Countries citing papers authored by Ling Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 201560
3 202051
4 201739
5 201338
6 202235
7 202333
8 201432
9 202330
10 202128
11 201327
12 202226
13 201226
14 201925
15 201325
16 201725
17 202023
18 201421
19 201719
20
BPTF cooperates with p50 NF-κB to promote COX-2 expression and tumor cell growth in lung cancer.
201918

About Ling Jiang

Ling Jiang is a scholar working on Molecular Biology, Hematology, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Cytomegalovirus and herpesvirus research (5 papers), Hepatitis B Virus Studies (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Pregnancy and preeclampsia studies (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Spine and Intervertebral Disc Pathology (4 papers). The work is most often cited by research in Gastroenterology (60 citations), Hematology (106 citations), Obstetrics and Gynecology (66 citations), Biological Psychiatry (18 citations) and Pathology and Forensic Medicine (90 citations). Ling Jiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lin Wang, Tianlu Shi, Guopan Yu, Xiaoxue Shen, Lin Lin, Ting Yu, Wenjie Xiong, Yurong Tang, Wei Meng and Wenli Ma. Their work appears in journals such as Blood, Scientific Reports, Magnetic Resonance Imaging, PLoS ONE and International Journal of Biological Macromolecules.

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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