Lu Gan

2.0k citations
70 papers · 983 · h-index 18

Impact in

    • Gynecological conditions and treatments
    • Uterine Myomas and Treatments
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • HER2/EGFR in Cancer Research 5
    • Cancer survivorship and care 4
    • Gastric Cancer Management and Outcomes 5
    • Lung Cancer Treatments and Mutations 5

Lu Gan

60 papers receiving 971 citations

Peers

Lu Gan
Comparison fields: 5 of 94
  • Obstetrics and Gynecology 130
  • Oncology 283
  • Cancer Research 76
  • Nephrology 34
  • Pulmonary and Respiratory Medicine 144
Replace Parvin Ganjei‐Azar with:
Parvin Ganjei‐Azar United States
Shan Kang China
Elsebeth Staun-Ram Israel
Y. Gillerot Belgium
Jayaraman Lakshmanan United States
Shannon S. Wu United States
C. Wanner Austria
Kristina Allen‐Brady United States
Hye Ok Kim South Korea
Shu Feng United States
Lu Gan relative to Parvin Ganjei‐Azar United States Parvin Ganjei‐Azar's profile →
Citations per field
00.5×8.5×
Parvin Ganjei‐Azar · 1×
Citations per year

Countries citing papers authored by Lu Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2 201695
3 201973
4 202267
5 201756
6 201639
7 200538
8 201934
9 201933
10 201830
11 202028
12 201926
13 202223
14 201923
15 202222
16 201821
17 201920
18 201918
19 200916
20 201715

About Lu Gan

Lu Gan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Epidemiology, having authored 70 papers that have together received 983 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Gynecological conditions and treatments (6 papers), HER2/EGFR in Cancer Research (5 papers), Gastric Cancer Management and Outcomes (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer survivorship and care (4 papers), Breast Cancer Treatment Studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (130 citations), Oncology (283 citations), Cancer Research (76 citations), Nephrology (34 citations) and Pulmonary and Respiratory Medicine (144 citations). Lu Gan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hua Duan, Lei Liang, Xinxiang Li, Qingguo Li, Sanjun Cai, Jianxin Xue, Qian Xu, Sha Wang, Zhenhua Wu and Weijian Guo. Their work appears in journals such as BioMed Research International, Oncotarget, OncoImmunology, Frontiers in Medicine and Cancer Research.

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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