Lehua Shi

2.6k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Lehua Shi is a scholar working on Hepatology, Surgery and Oncology. According to data from OpenAlex, Lehua Shi has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hepatology, 17 papers in Surgery and 15 papers in Oncology. Recurrent topics in Lehua Shi's work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Lehua Shi is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Lehua Shi collaborates with scholars based in China, Hong Kong and United States. Lehua Shi's co-authors include Zhenlin Yan, Mengchao Wu, Feng Shen, Kui Wang, Yong Xia, Jun Li, Dong Wu, Xuying Wan, Renyan Gong and Yizhou Wang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Hepatology.

In The Last Decade

Lehua Shi

40 papers receiving 1.8k citations

Hit Papers

Prognostic Nomogram for Intrahepatic Cholangiocarcinoma A... 2013 2026 2017 2021 2013 250 500 750

Peers

Lehua Shi
Comparison fields: 5 of 93
  • Surgery 863
  • Oncology 819
  • Pulmonary and Respiratory Medicine 664
  • Hepatology 557
  • Cancer Research 432
Replace Zhenlin Yan with:
Zhenlin Yan China
Goro Watanabe Japan
Paxton V. Dickson United States
Kohei Nakachi Japan
Hirohiko Sakamoto Japan
Terumasa Yamada Japan
Maria Chiara Tronconi Italy
Ho-Kyung Chun South Korea
Toshio Nakagohri Japan
Birgit Gruenberger Austria
Zhenlin Yan China View profile →
Citations per field, relative to Lehua Shi
Lehua Shi · 1×
Citations per year, relative to Lehua Shi
Lehua Shi · 1×

Countries citing papers authored by Lehua Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lehua Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lehua Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Lehua Shi. A scholar is included among the top collaborators of Lehua Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lehua Shi. Lehua Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 80
2 10
3 37
4 44
5 3
6 3
7 37
8 5
9 32
10 21
11 26
12 10
13 9
14 66
15 6
16 128
17 20
18 35
19 93
20 13

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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