Z. Ling

1.8k total citations
28 papers, 1.5k citations indexed

About

Z. Ling is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Z. Ling has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 18 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Genetics. Recurrent topics in Z. Ling's work include Pancreatic function and diabetes (24 papers), Diabetes and associated disorders (18 papers) and Diabetes Management and Research (10 papers). Z. Ling is often cited by papers focused on Pancreatic function and diabetes (24 papers), Diabetes and associated disorders (18 papers) and Diabetes Management and Research (10 papers). Z. Ling collaborates with scholars based in Belgium, China and Sweden. Z. Ling's co-authors include Daniël Pipeleers, Décio L. Eizirik, Frans Schuit, Peter Huypens, F. Schuit, Arne Andersson, Mark Van de Casteele, Nils Welsh, Claes Hellerström and Frans Gorus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetes and FEBS Letters.

In The Last Decade

Z. Ling

27 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Z. Ling Belgium 17 1.2k 696 598 532 127 28 1.5k
Xiao-Qing Dai Canada 21 782 0.7× 398 0.6× 491 0.8× 795 1.5× 42 0.3× 42 1.5k
Cristina Alarcón United States 20 986 0.8× 549 0.8× 396 0.7× 763 1.4× 54 0.4× 31 1.5k
C. J. Hedeskov Denmark 20 1.2k 1.0× 642 0.9× 490 0.8× 872 1.6× 81 0.6× 45 1.7k
Mara Suleiman Italy 17 826 0.7× 479 0.7× 494 0.8× 374 0.7× 56 0.4× 29 1.2k
Yoshiharu Tsubamoto Japan 10 856 0.7× 447 0.6× 333 0.6× 867 1.6× 43 0.3× 13 1.4k
D. Janjic Switzerland 11 1.1k 0.9× 380 0.5× 377 0.6× 989 1.9× 86 0.7× 18 1.7k
Tanya Hansotia Canada 10 1.2k 1.0× 1.3k 1.9× 267 0.4× 782 1.5× 117 0.9× 10 2.0k
Cris M. Welling United States 11 852 0.7× 312 0.4× 403 0.7× 672 1.3× 31 0.2× 11 1.2k
Terumasa Okada United States 11 980 0.8× 454 0.7× 521 0.9× 998 1.9× 58 0.5× 14 1.7k
Melkam A. Kebede Australia 17 566 0.5× 385 0.6× 213 0.4× 513 1.0× 29 0.2× 36 1.0k

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-authorship network of co-authors of Z. Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Z. Ling. A scholar is included among the top collaborators of Z. Ling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Z. Ling. Z. Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ling, Z., et al.. (2024). Differential Evolution Based on Light-Weight-Surrogate for Solving High-Dimensional Energy Management Problem. Proceedings of the Genetic and Evolutionary Computation Conference. 1399–1407.
2.
3.
Guo, Wenhao, Z. Ling, X Liu, et al.. (2015). Caspase-3 feedback loop enhances Bid-induced AIF/endoG and Bak activation in Bax and p53-independent manner. Cell Death and Disease. 6(10). e1919–e1919. 35 indexed citations
4.
Jiang, Lei, Geert Stangé, Katrijn Verhaeghen, et al.. (2013). LC–MS/MS identification of doublecortin as abundant beta cell-selective protein discharged by damaged beta cells in vitro. Journal of Proteomics. 80. 268–280. 15 indexed citations
5.
Martens, Geert A., Gertjan Kramer, Geert Stangé, et al.. (2013). Functional characteristics of neonatal rat β cells with distinct markers. Journal of Molecular Endocrinology. 52(1). 11–28. 30 indexed citations
6.
Jacobs‐Tulleneers‐Thevissen, Daniel, Marie Chintinne, Z. Ling, et al.. (2013). Sustained function of alginate-encapsulated human islet cell implants in the peritoneal cavity of mice leading to a pilot study in a type 1 diabetic patient. Diabetologia. 56(7). 1605–1614. 177 indexed citations
7.
Chintinne, Marie, Geert Stangé, Pieter In 'T Veld, et al.. (2010). Contribution of postnatally formed small beta cell aggregates to functional beta cell mass in adult rat pancreas. Diabetologia. 53(11). 2380–2388. 39 indexed citations
8.
Wang, Qiang, Ying Cai, Mark Van de Casteele, Daniël Pipeleers, & Z. Ling. (2010). Interaction of glibenclamide and metformin at the level of translation in pancreatic   cells. Journal of Endocrinology. 208(2). 161–169. 4 indexed citations
9.
Wang, Qiang, Harry Heimberg, Daniël Pipeleers, & Z. Ling. (2008). Glibenclamide activates translation in rat pancreatic beta cells through calcium-dependent mTOR, PKA and MEK signalling pathways. Diabetologia. 51(7). 1202–1212. 16 indexed citations
10.
Beuneu, Claire, Olivier Vosters, Z. Ling, et al.. (2006). N-Acetylcysteine derivative inhibits procoagulant activity of human islet cells. Diabetologia. 50(2). 343–347. 20 indexed citations
11.
12.
Cai, Ying, Z. Ling, Harry Heimberg, et al.. (2003). AMP-activated protein kinase can induce apoptosis of insulin-producing MIN6 cells through stimulation of c-Jun-N-terminal kinase. Journal of Molecular Endocrinology. 30(2). 151–161. 150 indexed citations
13.
Ling, Z., Di Wu, Daisy Flamez, et al.. (2001). Glucagon-like peptide 1 receptor signaling influences topography of islet cells in mice. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 438(4). 382–387. 67 indexed citations
14.
Schravendijk, Christiaan Van, et al.. (2001). Interleukin-1β Inhibits Proinsulin Conversion in Rat β-Cells Via a Nitric Oxide-Dependent Pathway. Hormone and Metabolic Research. 33(11). 639–644. 3 indexed citations
15.
Hou, Xue, Z. Ling, Erik Quartier, et al.. (1999). Prolonged exposure of pancreatic beta cells to raised glucose concentrations results in increased cellular content of islet amyloid polypeptide precursors. Diabetologia. 42(2). 188–194. 48 indexed citations
16.
17.
Hou, Xue, Z. Ling, A. Foriers, et al.. (1997). Proinsulin and Its Conversion Intermediates in Human Pancreas and Isolated Islet Tissue. Pancreas. 15(2). 113–121. 5 indexed citations
18.
Hellman, Bo, Erik Gylfe, Peter Bergsten, et al.. (1994). Glucose induces oscillatory Ca2+ signalling and insulin release in human pancreatic beta cells. Diabetologia. 37(S2). S11–S20. 92 indexed citations
19.
Pipeleers, Daniël, et al.. (1994). Physiologic relevance of heterogeneity in the pancreatic beta-cell population. Diabetologia. 37(S2). S57–S64. 130 indexed citations
20.
Ling, Z., F Malaisse-Lagae, Willy Malaisse, & Daniël Pipeleers. (1993). Reduced glutamate decarboxylase activity in rat islet β cells which survived streptozotocin‐induced cytotoxicity. FEBS Letters. 324(3). 262–264. 3 indexed citations

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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