Longlong Yang

1.5k citations
19 papers · 1.2k · h-index 15

Impact in

Papers in

Longlong Yang

19 papers receiving 1.1k citations

Peers

Longlong Yang
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 354
  • Cancer Research 256
  • Aging 22
  • Chemical Health and Safety 8
  • Small Animals 88
Replace Frank Boellmann with:
Frank Boellmann United States
Richard E. Morrissey United States
David B. Carlson United States
Robert G. Halgren United States
S. Zimmering United States
Christine Ruehl-Fehlert Germany
Alexandra Jauhiainen Sweden
Masaru Sekijima Japan
David L. Greenman United States
Amal Malik Canada
Longlong Yang relative to Frank Boellmann United States Frank Boellmann's profile →
Citations per field
00.5×3.1×
Frank Boellmann · 1×
Citations per year

Countries citing papers authored by Longlong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007166
2 2018160
3 2013157
4 2007155
5 2006106
6 200978
7 201272
8 200743
9 200138
10 200036
11 200633
12 201529
13 201318
14 200718
15 201715
16 202213
17 20159
18 20087
19 20096

About Longlong Yang

Longlong Yang is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Ecology, Evolution, Behavior and Systematics and Computational Theory and Mathematics, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Diptera species taxonomy and behavior (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Hymenoptera taxonomy and phylogeny (3 papers), Fossil Insects in Amber (3 papers), Computational Drug Discovery Methods (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (354 citations), Cancer Research (256 citations), Aging (22 citations), Chemical Health and Safety (8 citations) and Small Animals (88 citations). Longlong Yang has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Russell S. Thomas, Bruce C. Allen, Melvin E. Andersen, Harvey J. Clewell, Linda Pluta, Eric W. Healy, Edilberto Bermudez, Andy Nong, Todd J. Page and Russell D. Wolfinger. Their work appears in journals such as Toxicological Sciences, Systematic Entomology, Genome biology, Molecular Phylogenetics and Evolution and Molecular BioSystems.

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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