Cong Zhu

8.4k citations
59 papers · 2.3k indexed · 1 hit paper · h-index 25

Impact in

    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Fungal and yeast genetics research
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering

Papers in

Cong Zhu

53 papers receiving 2.3k citations

Hit Papers

A metastasis map of human cancer cell lines 2020 · 272 citations
272202020262022202450100150200250

Peers

Cong Zhu
Comparison fields: 5 of 131
  • Molecular Biology 1.4k
  • Cancer Research 285
  • Aging 25
  • Oncology 289
  • Urology 58
Replace Takashi Kodama with:
Takashi Kodama Japan
Juan Du China
Yingyu Chen China
Salvatore Feo Italy
Yaqin Li China
Lin Tang China
Dario Di Silvestre Italy
Georges Baffet France
Yen‐Hua Huang Taiwan
Cong Zhu relative to Takashi Kodama Japan Takashi Kodama's profile →
Citations per field
00.5×
Takashi Kodama · 1×
Citations per year

Countries citing papers authored by Cong Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20245
5 2021114
6 202112
7 202177
8 202035
9 20207
10
A metastasis map of human cancer cell lines
Hit paper breakdown →
2020272
11 201930
12 20190
13 201830
14 201748
15
Environmental cues to urgency and incontinence episodes in Chinesepatients with overactive urinary bladder syndrome.
20151
16 201425
17 201461
18 20114
19 201190
20 200465

About Cong Zhu

Cong Zhu is a scholar working on Urology, Transplantation, Cancer Research, Periodontics and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Urinary Bladder and Prostate Research (5 papers), CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers), Nanoplatforms for cancer theranostics (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cancer Research (285 citations), Aging (25 citations), Oncology (289 citations) and Urology (58 citations). Cong Zhu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Sharyn E. Perry, Martha L. Bulyk, Rachel Patton McCord, Ronghua Yang, Jing Zheng, Scot A. Wolfe, Xian‐Tao Zeng, Ryan Christensen, Michael H. Brodsky and Hao Zi. Their work appears in journals such as Nucleic Acids Research, Military Medical Research, Cancer Research, Genome Research and The Plant Journal.

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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