Na Jing

1.0k citations
22 papers · 498 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

Na Jing

19 papers receiving 490 citations

Peers

Na Jing
Comparison fields: 5 of 69
  • Cancer Research 170
  • Nephrology 48
  • Molecular Biology 248
  • Immunology 70
  • Neurology 20
Replace Johannes Kuhlicke with:
Johannes Kuhlicke Germany
Nathaniel K. Berg United States
Luge Li United States
Jialing Wu China
Mary Lou Gaeta United States
Adrien Grimont United States
Dong‐Jin Oh South Korea
Mutsuko Nonaka‐Sarukawa Japan
Deepika Watts Germany
Julia Phieler Germany
Na Jing relative to Johannes Kuhlicke Germany Johannes Kuhlicke's profile →
Citations per field
00.5×9.3×
Johannes Kuhlicke · 1×
Citations per year

Countries citing papers authored by Na Jing

Since Specialization
Citations

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

Fields of papers citing papers by Na Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018128
2 202085
3 202063
4 202058
5 202434
6 202324
7 202022
8 201214
9 201713
10
Cerebral microbleeds - prevalence, distribution and risk factors in northeast population without preceding large-area stroke.
201013
11 202112
12 20207
13 20196
14 20236
15 20255
16 20214
17 20232
18 20251
19 20251
20 20250

About Na Jing

Na Jing is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 22 papers that have together received 498 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Extracellular vesicles in disease (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer Genomics and Diagnostics (2 papers), Cervical Cancer and HPV Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Folate and B Vitamins Research (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Cancer Research (170 citations), Nephrology (48 citations), Molecular Biology (248 citations), Immunology (70 citations) and Neurology (20 citations). Na Jing has collaborated with scholars based in China and United States. Frequent co-authors include Bo Fang, Holger K. Eltzschig, Xiaoyi Yuan, Nathaniel K. Berg, Viola Neudecker, Jae Woong Lee, Zhe Li, Ayong Tian, Feng Guo and Guijun Qin. Their work appears in journals such as Frontiers in Microbiology, Cancer Letters, Journal of Neuroinflammation, Cellular Physiology and Biochemistry and Journal of Ovarian Research.

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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