Linjian Mo

27 papers receiving 580 citations

Peers

Linjian Mo
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 107
  • Orthopedics and Sports Medicine 37
  • Reproductive Medicine 32
  • Urology 21
  • Cancer Research 47
Replace Robert Klepacz with:
Robert Klepacz Poland
Olivia Trummer Austria
D. Citadelle France
Yasumi Shintani Japan
Eun‐Ae Shin South Korea
Cheng‐Chih Chung Taiwan
Petra De Haes Belgium
Cristina Alonso‐Montes Spain
Dahong Yu United States
Richard Reneland Sweden
Linjian Mo relative to Robert Klepacz Poland Robert Klepacz's profile →
Citations per field
00.5×5.3×
Robert Klepacz · 1×
Citations per year

Countries citing papers authored by Linjian Mo

Since Specialization
Citations

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

Fields of papers citing papers by Linjian Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201196
2 201361
3 202355
4 201455
5 201243
6 201335
7 201429
8 201327
9
Human kallikrein 7 induces epithelial-mesenchymal transition-like changes in prostate carcinoma cells: a role in prostate cancer invasion and progression.
201023
10 201321
11 201220
12 201118
13 202216
14 201216
15 201214
16 202314
17 202111
18 20227
19 20086
20 20234

About Linjian Mo

Linjian Mo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 27 papers that have together received 586 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (3 papers), Single-cell and spatial transcriptomics (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), T-cell and B-cell Immunology (2 papers), Urinary Bladder and Prostate Research (2 papers), Prostate Cancer Treatment and Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (107 citations), Orthopedics and Sports Medicine (37 citations), Reproductive Medicine (32 citations), Urology (21 citations) and Cancer Research (47 citations). Linjian Mo has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Zengnan Mo, Haiying Zhang, Xue Qin, Aihua Tan, Xiaobo Yang, Yong Gao, Tao Peng, Ning Xia, Ming Liao and Yun Liu. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Frontiers in Oncology, Metabolism, The Prostate and Genes and Immunity.

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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