Long Zhang

35.1k total citations · 10 hit papers
550 papers, 16.8k citations indexed

About

Long Zhang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Long Zhang has authored 550 papers receiving a total of 16.8k indexed citations (citations by other indexed papers that have themselves been cited), including 273 papers in Molecular Biology, 97 papers in Oncology and 90 papers in Cancer Research. Recurrent topics in Long Zhang's work include Ubiquitin and proteasome pathways (39 papers), RNA modifications and cancer (33 papers) and MicroRNA in disease regulation (31 papers). Long Zhang is often cited by papers focused on Ubiquitin and proteasome pathways (39 papers), RNA modifications and cancer (33 papers) and MicroRNA in disease regulation (31 papers). Long Zhang collaborates with scholars based in China, United States and Netherlands. Long Zhang's co-authors include Fangfang Zhou, Peter ten Dijke, Feng Xie, Tong Dai, Lei Zhang, Xiaoxue Zhou, Hans van Dam, Justin Kline, Huizhe Huang and Thomas F. Gajewski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Long Zhang

514 papers receiving 16.6k citations

Hit Papers

Role of pyroptosis in infla... 2014 2026 2018 2022 2022 2022 2021 2022 2014 100 200 300 400

Peers

Long Zhang
Comparison fields: 5 of 191
  • Molecular Biology 9.6k
  • Cancer Research 3.3k
  • Oncology 2.8k
  • Immunology 2.7k
  • Pulmonary and Respiratory Medicine 1.5k
Replace Xin Zhang with:
Xin Zhang China
Xin Wang China
Min Wang China
Ting Liu China
Jin‐Man Kim South Korea
Feng Chen China
Hui Wang China
Jennifer E. Van Eyk United States
Xuan Zhang China
Yan Wang China
Xin Zhang China View profile →
Citations per field, relative to Long Zhang
Long Zhang · 1×
Citations per year, relative to Long Zhang
Long Zhang · 1×

Countries citing papers authored by Long Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Long Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Long Zhang. A scholar is included among the top collaborators of Long Zhang 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 Zhang. Long Zhang 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 4
2 1
3 2
4 2
5 6
6 4
7 2
8 1
9 1
10 0
11 7
12 21
13 26
14 1
15 6
16 2
17
Ferroptosis in cancer and cancer immunotherapy breakdown →
457
18 14
19 2
20 79

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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