Feng Lou

1.1k citations
40 papers · 529 · h-index 10

Impact in

Papers in

Feng Lou

35 papers receiving 525 citations

Peers

Feng Lou
Comparison fields: 5 of 48
  • Cancer Research 334
  • Pulmonary and Respiratory Medicine 324
  • Oncology 186
  • Pathology and Forensic Medicine 97
  • Hematology 27
Replace Chuanhua Zhao with:
Chuanhua Zhao China
Roberta Sgariglia Italy
Cécile Jovelet France
Clarence Eng United States
Laure Sorber Belgium
Marija Debeljak United States
Vanesa Rojas‐Rudilla United States
Johannes Andel Austria
Clara Mayo‐de‐las‐Casas Spain
Gwendoline Soler France
Feng Lou relative to Chuanhua Zhao China Chuanhua Zhao's profile →
Citations per field
00.5×10×15×
Chuanhua Zhao · 1×
Citations per year

Countries citing papers authored by Feng Lou

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016101
2 201692
3 201585
4 201745
5 201742
6 202130
7 201526
8 202113
9 202110
10 202010
11 20219
12 20218
13 20218
14 20226
15 20235
16 20234
17 20214
18 20224
19 20233
20
A novel prognostic scoring model for newly diagnosed FLT3-ITD-positive acute myeloid leukemia.
20203

About Feng Lou

Feng Lou is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 40 papers that have together received 529 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Lung Cancer Treatments and Mutations (11 papers), Genetic factors in colorectal cancer (9 papers), Colorectal Cancer Treatments and Studies (6 papers), Acute Myeloid Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Cancer Research (334 citations), Pulmonary and Respiratory Medicine (324 citations), Oncology (186 citations), Pathology and Forensic Medicine (97 citations) and Hematology (27 citations). Feng Lou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Chen, Mingyu Zhao, Lindsey Jones, Hua Ye, Xue F. Huang, Rong Shi, Kezhong Chen, Fan Yang, Si–Yi Chen and Shanbo Cao. Their work appears in journals such as Journal of Clinical Oncology, Cancer Medicine, Frontiers in Oncology, Scientific Reports and Journal of Thoracic and Cardiovascular Surgery.

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.

Explore authors with similar magnitude of impact