Jima Lv

1.6k citations
49 papers · 951 · h-index 18

Impact in

    • Lung Cancer Diagnosis and Treatment
    • Lung Cancer Treatments and Mutations
    • Gastric Cancer Management and Outcomes
    • Brain Metastases and Treatment
  • Oncology top 10%
    • Lung Cancer Research Studies

Papers in

    • Lung Cancer Diagnosis and Treatment 23
    • Lung Cancer Treatments and Mutations 20
    • Gastric Cancer Management and Outcomes 9
    • Lung Cancer Research Studies 12
    • Cancer Immunotherapy and Biomarkers 4

Jima Lv

48 papers receiving 943 citations

Peers

Jima Lv
Comparison fields: 5 of 58
  • Pulmonary and Respiratory Medicine 667
  • Oncology 424
  • Microbiology 8
  • Otorhinolaryngology 40
  • Radiation 70
Replace Dongfu Chen with:
Dongfu Chen China
Qinfu Feng China
Mert Saynak Türkiye
Hao‐Xian Yang China
Hans R.J. Elbers Netherlands
Vanessa Di Cataldo Italy
Quan Zhu China
Wee Yao Koh Singapore
Günther Klautke Germany
Michael Mac Manus Australia
Jima Lv relative to Dongfu Chen China Dongfu Chen's profile →
Citations per field
00.5×1.5×
Dongfu Chen · 1×
Citations per year

Countries citing papers authored by Jima Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jima Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021133
2 201171
3 200871
4 201458
5 201257
6 201636
7 201333
8 201532
9 201229
10 202027
11 201626
12 202325
13 201425
14 202123
15 201821
16 201421
17 201720
18 201918
19 201917
20 201215

About Jima Lv

Jima Lv is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 951 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (23 papers), Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (12 papers), Esophageal Cancer Research and Treatment (12 papers), Gastric Cancer Management and Outcomes (9 papers), Esophageal and GI Pathology (8 papers), Neuroendocrine Tumor Research Advances (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (667 citations), Oncology (424 citations), Microbiology (8 citations), Otorhinolaryngology (40 citations) and Radiation (70 citations). Jima Lv has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lühua Wang, Jun Liang, Zongmei Zhou, Zefen Xiao, Qinfu Feng, Dongfu Chen, Nan Bi, Zhouguang Hui, Jie He and Junling Li. Their work appears in journals such as BMC Cancer, Lung Cancer, Radiation Oncology, International Journal of Radiation Oncology*Biology*Physics and Journal of Thoracic Oncology.

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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