Hui Long

2.5k citations
67 papers · 1.7k · h-index 20

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

Hui Long

65 papers receiving 1.6k citations

Peers

Hui Long
Comparison fields: 5 of 146
  • Infectious Diseases 637
  • Neurology 311
  • Hematology 134
  • Cancer Research 177
  • Oncology 259
Replace Paolo Spagnolo with:
Paolo Spagnolo Italy
Jarom Heijmans Netherlands
Zhishui Chen China
Hideaki Morita Japan
Jerzy Jaroszewicz Poland
Thangamani Muthukumar United States
Jiong Yu China
Qin Wu China
Anton F. J. de Haan Netherlands
Loek P. Smits Netherlands
Hui Long relative to Paolo Spagnolo Italy Paolo Spagnolo's profile →
Citations per field
00.5×2.9×
Paolo Spagnolo · 1×
Citations per year

Countries citing papers authored by Hui Long

Since Specialization
Citations

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

Fields of papers citing papers by Hui Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020296
2 2020170
3 2020138
4 2020106
5 202174
6 195971
7 202269
8 201761
9 201250
10 201646
11 200144
12
GP73 expression and its significance in the diagnosis of hepatocellular carcinoma: a review.
201240
13 201737
14 202033
15 202132
16 202229
17 202221
18 202321
19 202019
20 201319

About Hui Long

Hui Long is a scholar working on Molecular Biology, Surgery, Infectious Diseases, Oncology and Epidemiology, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Intraperitoneal and Appendiceal Malignancies (9 papers), COVID-19 Clinical Research Studies (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Appendicitis Diagnosis and Management (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer-related molecular mechanisms research (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Infectious Diseases (637 citations), Neurology (311 citations), Hematology (134 citations), Cancer Research (177 citations) and Oncology (259 citations). Hui Long has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qingming Wu, Hongwei Ren, Huan Li, Xiaochen Xiang, Shuzhong Cui, Mingchen Ba, Qiang Wang, Yuanfeng Gong, Ling Hu and Yi Zuo. Their work appears in journals such as Scientific Reports, Journal of Cellular Biochemistry, BMC Infectious Diseases, Oncotarget and Journal of Asian Natural Products 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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