Tengda Lin

670 citations
15 papers · 90 · h-index 6

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 2
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Colorectal Cancer Screening and Detection 2
    • Cancer survivorship and care 2
    • Gut microbiota and health 3
    • Metabolomics and Mass Spectrometry Studies 2

Tengda Lin

14 papers receiving 90 citations

Peers

Tengda Lin
Comparison fields: 5 of 49
  • Biological Psychiatry 3
  • Oncology 30
  • Physiology 19
  • Cancer Research 11
  • Otorhinolaryngology 3
Replace João Maciel with:
João Maciel Portugal
Yufang Bi China
Alasdair Stenhouse United Kingdom
Maria Leadbeater United Kingdom
Eesha Yaqoob Pakistan
Sarah Ducastel France
Marko Lukic Norway
Shunwang Li China
Jorge Alfonso Martín‐Trejo Mexico
Tengda Lin relative to João Maciel Portugal João Maciel's profile →
Citations per field
00.5×1.6×
João Maciel · 1×
Citations per year

Countries citing papers authored by Tengda Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tengda Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201924
2 201716
3 201810
4 20219
5 20206
6 20206
7 20224
8 20173
9 20203
10 20252
11 20222
12 20252
13 20242
14 20211
15 20200

About Tengda Lin

Tengda Lin is a scholar working on Oncology, Molecular Biology, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 90 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Gut microbiota and health (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Colorectal and Anal Carcinomas (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Biological Psychiatry (3 citations), Oncology (30 citations), Physiology (19 citations), Cancer Research (11 citations) and Otorhinolaryngology (3 citations). Tengda Lin has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Cornelia M. Ulrich, Jennifer Ose, Biljana Gigic, Susan E. McCann, Christy A. Warby, Christine B. Ambrosone, Gary Zirpoli, Li Tang, Caroline Himbert and Kirsten B. Moysich. Their work appears in journals such as Biotechnology and Bioengineering, Metabolomics, International Journal of Oral and Maxillofacial Surgery, Nutrition and Cancer and Journal of Clinical 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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