Jian-Da Lin

1.4k citations
22 papers · 825 · h-index 9

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Viral gastroenteritis research and epidemiology

Papers in

Jian-Da Lin

22 papers receiving 822 citations

Peers

Jian-Da Lin
Comparison fields: 5 of 105
  • Immunology 387
  • Infectious Diseases 165
  • Parasitology 35
  • Animal Science and Zoology 45
  • Neurology 33
Replace Gaurav Shrivastava with:
Gaurav Shrivastava United States
Marie B. Iversen Denmark
Kashif Aziz Khan France
Rebecca J. Nusbaum United States
Julia E. Prier Australia
Andrea Paun United States
Sena Lee South Korea
Quynh-Mai Pham United States
Michael S. Bennett United States
Jian-Da Lin relative to Gaurav Shrivastava United States Gaurav Shrivastava's profile →
Citations per field
00.5×1.6×
Gaurav Shrivastava · 1×
Citations per year

Countries citing papers authored by Jian-Da Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jian-Da Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019227
2 2016137
3 2020121
4 2017114
5 202154
6 202153
7 201237
8 202329
9 200821
10 20237
11 20106
12 20154
13 20233
14 20242
15 20232
16 20102
17 20251
18 20241
19 20251
20 20101

About Jian-Da Lin

Jian-Da Lin is a scholar working on Immunology, Computer Networks and Communications, Molecular Biology, Electrical and Electronic Engineering and Infectious Diseases, having authored 22 papers that have together received 825 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Mobile Ad Hoc Networks (4 papers), Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), Immune cells in cancer (3 papers), Immune responses and vaccinations (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (387 citations), Infectious Diseases (165 citations), Parasitology (35 citations), Animal Science and Zoology (45 citations) and Neurology (33 citations). Jian-Da Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include P’ng Loke, Edward A. Fisher, Caroline McCauley, Jordan Poles, Nikollaq Vozhilla, Karishma Rahman, Stephen T. Yeung, Ada Weinstock, Xiang Niu and Emily J. Brown. Their work appears in journals such as Nature Communications, Gastroenterology, Cell Metabolism, Nature Metabolism and The Journal of Immunology.

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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