Jing Long

1.8k citations
62 papers · 1.1k · 1 hit paper · h-index 20

Impact in

    • Sesquiterpenes and Asteraceae Studies
    • Cancer-related molecular mechanisms research
    • Natural product bioactivities and synthesis

Papers in

    • Melanoma and MAPK Pathways 4
    • Cancer therapeutics and mechanisms 4
    • Natural product bioactivities and synthesis 4
    • Synthesis and biological activity 5
    • Synthetic Organic Chemistry Methods 4

Jing Long

59 papers receiving 1.1k citations

Jing Long's Hit Papers

How Does Digital Transformation Improve Organizational Resilience?—Findings from PLS-SEM and fsQCA 2021 · 144 citations
1440+1+3Years since publication4080120

Peers

Jing Long
Comparison fields: 5 of 137
  • Cancer Research 249
  • Molecular Biology 483
  • Business and International Management 11
  • Oncology 147
  • Obstetrics and Gynecology 42
Replace Ping Su with:
Ping Su China
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Chun‐Yu Lin Taiwan
G. Raghuram India
Snigdha Banerjee United States
Yiran Tao China
Ying Ying China
Zhan Wang China
Michael S. Brown United States
Jing Long relative to Ping Su China Ping Su's profile →
Citations per field
00.5×5.5×
Ping Su · 1×
Citations per year

Countries citing papers authored by Jing Long

Since Specialization
Citations

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

Fields of papers citing papers by Jing Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How Does Digital Transformation Improve Organizational Resilience?—Findings from PLS-SEM and fsQCA
Hit paper breakdown →
2021144
2 201262
3 202059
4 202046
5 201345
6 201441
7 202036
8 201335
9 200734
10 201731
11 201329
12 202228
13 202128
14 201326
15 202026
16 202025
17 201822
18 201822
19 202020
20 201820

About Jing Long

Jing Long is a scholar working on Molecular Biology, Organic Chemistry, Cancer Research, Oncology and Epidemiology, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sesquiterpenes and Asteraceae Studies (6 papers), Synthesis and biological activity (5 papers), Pregnancy and preeclampsia studies (5 papers), Melanoma and MAPK Pathways (4 papers), Cancer therapeutics and mechanisms (4 papers), Birth, Development, and Health (4 papers), Natural product bioactivities and synthesis (4 papers) and Synthetic Organic Chemistry Methods (4 papers). The work is most often cited by research in Cancer Research (249 citations), Molecular Biology (483 citations), Business and International Management (11 citations), Oncology (147 citations) and Obstetrics and Gynecology (42 citations). Jing Long has collaborated with scholars based in China, Hong Kong and India. Frequent co-authors include Yue Chen, Quan Zhang, Yahui Ding, Liuqin He, Panpan Wang, Jiadai Zhai, Xihong Zhou, Yonghui Liu, Tiejun Li and Dongmei Li. Their work appears in journals such as Cellular Physiology and Biochemistry, Bioorganic & Medicinal Chemistry Letters, Bioorganic Chemistry, Molecules and Cell Biology and Toxicology.

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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