Sha Zhu

2.3k total citations
88 papers, 1.2k citations indexed

About

Sha Zhu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Sha Zhu has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 28 papers in Molecular Biology and 21 papers in Oncology. Recurrent topics in Sha Zhu's work include Prostate Cancer Treatment and Research (24 papers), Prostate Cancer Diagnosis and Treatment (14 papers) and Renal cell carcinoma treatment (7 papers). Sha Zhu is often cited by papers focused on Prostate Cancer Treatment and Research (24 papers), Prostate Cancer Diagnosis and Treatment (14 papers) and Renal cell carcinoma treatment (7 papers). Sha Zhu collaborates with scholars based in China, United States and Canada. Sha Zhu's co-authors include Michael J. Petris, Gary A. Weisman, Victoria Hodgkinson, Xuelei Ma, Vinit Shanbhag, Yanfang Wang, Erik Ladomersky, Nikita Gudekar, Junru Chen and Kamlendra Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Sha Zhu

76 papers receiving 1.2k citations

Peers

Sha Zhu
Comparison fields: 5 of 110
  • Molecular Biology 416
  • Oncology 362
  • Pulmonary and Respiratory Medicine 328
  • Nutrition and Dietetics 265
  • Cancer Research 245
Replace Bartosz Puła with:
Bartosz Puła Poland
Jarosław Skokowski Poland
Yousef Zakharia United States
William H. St. Clair United States
Kiyoshi Koshida Japan
Marina Accardo Italy
Steven J. Miller United States
M. Schenck Germany
Maria Rius Germany
Aarti Asnani United States
Bartosz Puła Poland View profile →
Citations per field, relative to Sha Zhu
Sha Zhu · 1×
Citations per year, relative to Sha Zhu
Sha Zhu · 1×

Countries citing papers authored by Sha Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Sha Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Zhu. A scholar is included among the top collaborators of Sha Zhu 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 Sha Zhu. Sha Zhu 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 2
2 1
3 1
4 4
5 1
6 14
7 13
8 33
9 1
10 5
11 16
12 6
13 0
14 40
15 18
16 3
17 17
18 42
19 0
20
Cloning and expression of prolactin gene in laying pigeon
2

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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