Sining Leng

602 citations
19 papers · 428 · h-index 10

Impact in

Papers in

Sining Leng

17 papers receiving 422 citations

Peers

Sining Leng
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 135
  • Behavioral Neuroscience 19
  • Endocrine and Autonomic Systems 34
  • Cancer Research 55
  • Cellular and Molecular Neuroscience 65
Replace Tamás Csikós with:
Tamás Csikós Netherlands
Jean‐Noël Laverrière France
Dominique Langlois France
Pierrick Rochard France
Violaine Simon France
Hiroko Shiina Japan
Yuki Kanda Japan
Marianna Tyczewska Poland
Ratna Biswas India
Romain Guyot France
Sining Leng relative to Tamás Csikós Netherlands Tamás Csikós's profile →
Citations per field
00.5×7.3×
Tamás Csikós · 1×
Citations per year

Countries citing papers authored by Sining Leng

Since Specialization
Citations

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

Fields of papers citing papers by Sining Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200180
2 201875
3 201653
4 202045
5 202040
6 202032
7 202030
8 201824
9 201912
10 20239
11 20238
12
Impaired step lengths common to three unrelated Drosophila mutant lines with common brain defects confirm the involvement of the protocerebral bridge in optimizing walking speed
19977
13 20216
14
Ethograms of three Drosophila mutant strains with structural defects in the protocerebral bridge
19983
15
A new walking impaired Drosophila mutant has a structural defect in the protocerebral bridge of the central complex
19962
16
Right-left bargaining in the central complex: lessons from unilaterally defective Drosophila mosaic mutants
19971
17 20211
18 20250
19 20210

About Sining Leng

Sining Leng is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 19 papers that have together received 428 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Pancreatic function and diabetes (2 papers), Signaling Pathways in Disease (2 papers), Circadian rhythm and melatonin (2 papers), Ion Transport and Channel Regulation (2 papers), Stress Responses and Cortisol (2 papers) and Child Nutrition and Feeding Issues (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (135 citations), Behavioral Neuroscience (19 citations), Endocrine and Autonomic Systems (34 citations), Cancer Research (55 citations) and Cellular and Molecular Neuroscience (65 citations). Sining Leng has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include David T. Breault, Diana L. Carlone, Emanuele Pignatti, Roland Strauß, Ji Miao, Paula Q. Barrett, Uwe Walldorf, Jason Clements, David L. Cribbs and Corinne Benassayag. Their work appears in journals such as Endocrinology, Nature Communications, Molecular and Cellular Endocrinology, JCI Insight and Nature Medicine.

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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