Long Liang

1.8k total citations · 1 hit paper
60 papers, 871 citations indexed

About

Long Liang is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Long Liang has authored 60 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Cancer Research and 10 papers in Hematology. Recurrent topics in Long Liang's work include Multiple Myeloma Research and Treatments (6 papers), Chemical synthesis and alkaloids (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). Long Liang is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Chemical synthesis and alkaloids (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). Long Liang collaborates with scholars based in China, United States and Canada. Long Liang's co-authors include Jing Liu, Mao Ye, Xiaojuan Xiao, Mridul Roy, Peifu Feng, Hong Liu, Xiang Chen, Shuang Zhao, Hui Li and Yang Jiao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Long Liang

56 papers receiving 858 citations

Hit Papers

New opportunity: Materials genome strategy for engineered... 2025 2026 2025 5 10 15

Peers

Long Liang
Comparison fields: 5 of 98
  • Molecular Biology 431
  • Oncology 156
  • Organic Chemistry 148
  • Cancer Research 130
  • Pharmacology 118
Replace Lei Wan with:
Lei Wan China
Chong Zhao China
Shoujun Yuan China
Shuyan Lu United States
Tianyu Cai China
Jeff Yi‐Fu Chen Taiwan
Vibha Singh India
Adrian Bogdan Țigu Romania
Genshen Zhong China
Jingde Wu China
Lei Wan China View profile →
Citations per field, relative to Long Liang
Long Liang · 1×
Citations per year, relative to Long Liang
Long Liang · 1×

Countries citing papers authored by Long Liang

Since Specialization
Citations

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

Fields of papers citing papers by Long Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Long Liang. A scholar is included among the top collaborators of Long Liang 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 Long Liang. Long Liang 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 1
2 2
3 0
4 4
5 0
6 2
7 0
8 42
9 19
10 2
11
First-Line Anlotinib Combined with Stereotactic Body Radiation Therapy for an Octogenarian with Pulmonary Carcinosarcoma
1
12 2
13 18
14 9
15 20
16 16
17 17
18 21
19 1
20 0

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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