Lang Wu

5.3k citations
114 papers · 2.8k · h-index 27

Impact in

Papers in

    • RNA modifications and cancer 11
    • Epigenetics and DNA Methylation 9
    • RNA Research and Splicing 7
    • Genetic Associations and Epidemiology 20

Lang Wu

105 papers receiving 2.7k citations

Peers

Lang Wu
Comparison fields: 5 of 143
  • Obstetrics and Gynecology 125
  • Cancer Research 169
  • Applied Psychology 56
  • Oncology 289
  • Reproductive Medicine 81
Replace Grethe Albrektsen with:
Grethe Albrektsen Norway
Thomas C. Havighurst United States
Lan Yu China
Robin Bliss United States
Michael Friedrich Germany
Kirstin Pirie United Kingdom
Laila Dahmoush United States
Hannah Arem United States
Ángel Asúnsolo Spain
Lang Wu relative to Grethe Albrektsen Norway Grethe Albrektsen's profile →
Citations per field
00.5×5.2×
Grethe Albrektsen · 1×
Citations per year

Countries citing papers authored by Lang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015269
2 2015262
3 2015118
4 201598
5 201487
6 201587
7 201587
8 201474
9 201571
10 201470
11 201563
12 201462
13 201457
14 201556
15 201854
16 201450
17 201645
18 201544
19 202444
20 202042

About Lang Wu

Lang Wu is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 114 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (20 papers), RNA modifications and cancer (11 papers), Pancreatic and Hepatic Oncology Research (10 papers), Epigenetics and DNA Methylation (9 papers), RNA Research and Splicing (7 papers), Prostate Cancer Treatment and Research (5 papers), Cancer-related molecular mechanisms research (4 papers) and Nutritional Studies and Diet (4 papers). The work is most often cited by research in Obstetrics and Gynecology (125 citations), Cancer Research (169 citations), Applied Psychology (56 citations), Oncology (289 citations) and Reproductive Medicine (81 citations). Lang Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mingli Liu, Jingjing Zhu, Qingsen Ming, Shuqiao Yao, Qi‐Jun Wu, Ting‐Ting Gong, Changwei Li, Larry J. Prokop, M. Hassan Murad and Chong Wu. Their work appears in journals such as Cancer Research, International Journal of Cancer, Scientific Reports, PLoS ONE and Oncotarget.

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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