Z. Ling

1.8k citations
27 papers · 1.6k · h-index 17

Impact in

Papers in

    • Pancreatic function and diabetes 24
    • Diabetes and associated disorders 16

Z. Ling

26 papers receiving 1.5k citations

Peers

Z. Ling
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 615
  • Surgery 1.2k
  • Genetics 503
  • Endocrine and Autonomic Systems 48
  • Physiology 34
Replace Cristina Alarcón with:
Cristina Alarcón United States
Yoshiharu Tsubamoto Japan
Cris M. Welling United States
Mara Suleiman Italy
C. J. Hedeskov Denmark
Letícia Prates Roma Germany
Xingjun Jing Sweden
Christine Longuet Canada
Simon A. Hinke United States
Melkam A. Kebede Australia
Z. Ling relative to Cristina Alarcón United States Cristina Alarcón's profile →
Citations per field
00.5×1.5×1.9×
Cristina Alarcón · 1×
Citations per year

Countries citing papers authored by Z. Ling

Since Specialization
Citations

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

Fields of papers citing papers by Z. Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994231
2 2013197
3 2000183
4 2003151
5 1998134
6 1994132
7 199497
8 200170
9 200062
10 199951
11 201040
12 201536
13 201035
14 201332
15 199626
16 200621
17 200817
18 201316
19 20069
20 19946

About Z. Ling

Z. Ling is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Diabetes and associated disorders (16 papers), Diabetes Management and Research (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Diet, Metabolism, and Disease (3 papers), Diabetes Treatment and Management (3 papers), Calcium signaling and nucleotide metabolism (2 papers) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (615 citations), Surgery (1.2k citations), Genetics (503 citations), Endocrine and Autonomic Systems (48 citations) and Physiology (34 citations). Z. Ling has collaborated with scholars based in Belgium, China and Sweden. Frequent co-authors include Daniël Pipeleers, Décio L. Eizirik, Frans Schuit, Peter Huypens, F. Schuit, Arne Andersson, Mark Van de Casteele, Claes Hellerström, Nils Welsh and Frans Gorus. Their work appears in journals such as Diabetologia, Diabetes, Endocrinology, Journal of Molecular Endocrinology and Hormone and Metabolic Research.

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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