Z. Ling

1.8k citations
28 papers · 1.5k indexed · h-index 17

Impact in

Papers in

Z. Ling

27 papers receiving 1.4k citations

Peers

Z. Ling
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 696
  • Surgery 1.2k
  • Genetics 598
  • Physiology 38
  • Molecular Biology 532
Replace Cristina Alarcón with:
Cristina Alarcón United States
Xiao-Qing Dai Canada
Yoshiharu Tsubamoto Japan
C. J. Hedeskov Denmark
Mara Suleiman Italy
Cris M. Welling United States
Terumasa Okada United States
Ryan K. Mitchell United Kingdom
D. Janjic Switzerland
Simon A. Hinke United States
Z. Ling relative to Cristina Alarcón United States Cristina Alarcón's profile →
Citations per field
00.5×1.5×1.8×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994227
2 2013177
3 2000176
4 2003150
5 1994130
6 1998129
7 199492
8 200167
9 200062
10 199948
11 201039
12 201535
13 201035
14 201330
15 199625
16 200620
17 200816
18 201315
19 20069
20 19975

About Z. Ling

Z. Ling is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Physiology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (24 papers), Diabetes and associated disorders (18 papers), Diabetes Management and Research (10 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes Treatment and Management (5 papers), Diet, Metabolism, and Disease (3 papers), Calcium signaling and nucleotide metabolism (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (696 citations), Surgery (1.2k citations), Genetics (598 citations), Physiology (38 citations) and Molecular Biology (532 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, Claes Hellerström, Arne Andersson, Mark Van de Casteele, Nils Welsh and Frans Gorus. Their work appears in journals such as Diabetologia, Endocrinology, Diabetes, Journal of Molecular Endocrinology and Surgical Endoscopy.

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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