Shuling Lin

771 citations
15 papers · 411 · h-index 11

Impact in

Papers in

Shuling Lin

15 papers receiving 402 citations

Peers

Shuling Lin
Comparison fields: 5 of 77
  • Virology 100
  • Cellular and Molecular Neuroscience 91
  • Applied Microbiology and Biotechnology 7
  • Molecular Biology 237
  • Infectious Diseases 49
Replace Shrikant Pawar with:
Shrikant Pawar United States
Dulce Marı́a Delgadillo Mexico
Jan van Binsbergen Netherlands
Iancu Pardowitz Germany
Vincent R. Gerbasi United States
Souichi Nukuzuma Japan
Molly Price-Jones United Kingdom
Tobias Nolden Germany
Dmytro Kovalskyy United States
J. Ryan Feathers United States
Shuling Lin relative to Shrikant Pawar United States Shrikant Pawar's profile →
Citations per field
00.5×5.6×
Shrikant Pawar · 1×
Citations per year

Countries citing papers authored by Shuling Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200897
2 202196
3 202044
4 202331
5 202328
6 200422
7 201820
8 202119
9 200414
10 201012
11
Phenology and the production of seeds and wasps in Ficus microcarpa in Guangzhou, China.
200812
12 20239
13 20084
14 20252
15
FLORAL ONTOGENY OF TWO JATROPHA SPECIES (EUPHORBIACEAE S.S) AND ITS SYSTEMATIC IMPLICATIONS
20151

About Shuling Lin

Shuling Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Virology, having authored 15 papers that have together received 411 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Plant and animal studies (3 papers), Neuropeptides and Animal Physiology (2 papers), Plant Diversity and Evolution (2 papers), Immunotherapy and Immune Responses (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Mosquito-borne diseases and control (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Virology (100 citations), Cellular and Molecular Neuroscience (91 citations), Applied Microbiology and Biotechnology (7 citations), Molecular Biology (237 citations) and Infectious Diseases (49 citations). Shuling Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaojing Chu, Beili Wu, Qiang Zhao, Elizabeth Peters, Linda S. Wyatt, Patricia L. Earl, Bernard Moss, Peter Silvera, Jeffrey L. Americo and Yingbin Xue. Their work appears in journals such as Nature, Viruses, Cell Research, Frontiers in Public Health and AIDS Research and Human Retroviruses.

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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