Simeng Qin

27 papers receiving 280 citations

Peers

Simeng Qin
Comparison fields: 5 of 68
  • Animal Science and Zoology 76
  • Nutrition and Dietetics 29
  • Aquatic Science 14
  • Oncology 46
  • Gastroenterology 8
Replace Dongdong Lu with:
Dongdong Lu China
Maria Emília Rabelo Andrade Brazil
Qiyao Liu China
Patrícia Aparecida Vieira de Barros Brazil
Takashi Miyake Japan
Jiangdi Mao China
Sneh Lata Gupta India
Pooja S. Salvi United States
Nidhi Nagar United States
Natali Vega‐Magaña Mexico
Simeng Qin relative to Dongdong Lu China Dongdong Lu's profile →
Citations per field
00.5×9.4×
Dongdong Lu · 1×
Citations per year

Countries citing papers authored by Simeng Qin

Since Specialization
Citations

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

Fields of papers citing papers by Simeng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201938
2 201933
3 202228
4 201927
5 202223
6 202019
7 201715
8 201014
9 201711
10 202211
11 20199
12 20228
13 20227
14 20246
15 20236
16 20215
17
Diagnostic Values of the Prealbumin-to-Fibrinogen, Albumin-to-Fibrinogen, and Monocyte-to-Lymphocyte Ratios in Gastric Cancer.
20215
18 20214
19 20243
20 20203

About Simeng Qin

Simeng Qin is a scholar working on Molecular Biology, Oncology, Animal Science and Zoology, Infectious Diseases and Nutrition and Dietetics, having authored 31 papers that have together received 286 indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Animal Nutrition and Physiology (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Trace Elements in Health (2 papers), Nutritional Studies and Diet (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Animal Science and Zoology (76 citations), Nutrition and Dietetics (29 citations), Aquatic Science (14 citations), Oncology (46 citations) and Gastroenterology (8 citations). Simeng Qin has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Xuemei Ding, Shiping Bai, Qiufeng Zeng, Keying Zhang, Zhuowei Su, Yue Xuan, J P Wang, Shan Li, Huaping Chen and Li Huang. Their work appears in journals such as Poultry Science, British Journal Of Nutrition, The International Journal of Biological Markers, Journal of Animal Science and Biotechnology and Journal of Animal Physiology and Animal Nutrition.

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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