Lingfeng Yang

1.9k citations
53 papers · 1.1k · h-index 18

Impact in

Papers in

Lingfeng Yang

52 papers receiving 1.1k citations

Peers

Lingfeng Yang
Comparison fields: 5 of 108
  • Transplantation 119
  • Endocrinology, Diabetes and Metabolism 274
  • Family Practice 22
  • Pulmonary and Respiratory Medicine 321
  • Pharmacology 157
Replace Nitika Gupta with:
Nitika Gupta United States
Vanessa Rousseau France
Jiali Liu China
Ilaria Dicembrini Italy
Myeong Gyu Kim South Korea
G Rogers United Kingdom
Jai N. Patel United States
Timothy J. Vittorio United States
Raktim K. Ghosh United States
Giuditta Benincasa Italy
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Citations per field
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Citations per year

Countries citing papers authored by Lingfeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lingfeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018148
2 2003108
3 201898
4 202286
5 202074
6 201167
7 202154
8 202050
9 201633
10 201728
11 200326
12 202226
13 202423
14 202223
15 202221
16 201920
17 202120
18 202119
19 202216
20 202115

About Lingfeng Yang

Lingfeng Yang is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Oncology, Cancer Research and Molecular Biology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Diabetes Treatment and Management (8 papers), Diabetes Management and Research (7 papers), Heart Failure Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (4 papers), PARP inhibition in cancer therapy (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Transplantation (119 citations), Endocrinology, Diabetes and Metabolism (274 citations), Family Practice (22 citations), Pulmonary and Respiratory Medicine (321 citations) and Pharmacology (157 citations). Lingfeng Yang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lynn E. Eberly, Baanie Sawhney, Swapnil Rajpathak, Ronald J. Prineas, Jerome D. Cohen, Kristy Iglay, Tracey Weiss, Robert Boggs, Richard D. Carr and Sameer R. Ghate. Their work appears in journals such as Future Oncology, Advances in Therapy, Journal of Clinical Oncology, American Journal of Transplantation and Annals of Nuclear Energy.

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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