Manja Jolink

462 total citations
9 papers, 265 citations indexed

About

Manja Jolink is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Manja Jolink has authored 9 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Manja Jolink's work include Diabetes Management and Research (8 papers), Diabetes and associated disorders (6 papers) and Pancreatic function and diabetes (5 papers). Manja Jolink is often cited by papers focused on Diabetes Management and Research (8 papers), Diabetes and associated disorders (6 papers) and Pancreatic function and diabetes (5 papers). Manja Jolink collaborates with scholars based in Germany and United States. Manja Jolink's co-authors include Christiane Winkler, Ezio Bonifacio, Anette‐Gabriele Ziegler, Peter Achenbach, Florian Haupt, Kerstin Kick, Markus Hippich, Katharina Warncke, Martin Lang and Karin Lange and has published in prestigious journals such as JAMA, Diabetes Care and Diabetologia.

In The Last Decade

Manja Jolink

9 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manja Jolink Germany	7	210	209	176	16	16	9	265
Austė Pundziūtė-Lyckå Sweden	7	306 1.5×	279 1.3×	195 1.1×	18 1.1×	8 0.5×	8	347
Helen Lambeth United States	3	116 0.6×	151 0.7×	72 0.4×	11 0.7×	10 0.6×	3	257
Gertie Hansson Sweden	5	160 0.8×	126 0.6×	130 0.7×	17 1.1×	13 0.8×	6	202
P. J. Bingley United Kingdom	4	277 1.3×	256 1.2×	164 0.9×	20 1.3×	4 0.3×	5	313
Anna Parkkola Finland	10	202 1.0×	168 0.8×	137 0.8×	7 0.4×	3 0.2×	11	252
Markus Hippich Germany	7	242 1.2×	224 1.1×	189 1.1×	3 0.2×	3 0.2×	8	293
U. Mollenhauer Germany	5	147 0.7×	162 0.8×	190 1.1×	41 2.6×	151 9.4×	6	325
Liesbeth Van Huffel Belgium	7	221 1.1×	350 1.7×	232 1.3×	7 0.4×	7 0.4×	10	389
Anette-Gabriele Ziegler Germany	4	97 0.5×	92 0.4×	85 0.5×	8 0.5×	4 0.3×	7	150
Ioanna Kosteria Greece	9	80 0.4×	77 0.4×	48 0.3×	59 3.7×	10 0.6×	19	225

Countries citing papers authored by Manja Jolink

Since Specialization

Citations

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

Fields of papers citing papers by Manja Jolink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manja Jolink

This figure shows the co-authorship network connecting the top 25 collaborators of Manja Jolink. A scholar is included among the top collaborators of Manja Jolink 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 Manja Jolink. Manja Jolink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Weiß, Andreas, Jose Zapardiel‐Gonzalo, Manja Jolink, et al.. (2022). Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening. Diabetologia. 65(12). 2121–2131. 31 indexed citations

Jolink, Manja, Christiane Winkler, Anne Eugster, et al.. (2022). Autoantibodies against ATP4A are a feature of the abundant autoimmunity that develops in first‐degree relatives of patients with type 1 diabetes. Pediatric Diabetes. 23(6). 714–720. 2 indexed citations

Ziegler, Anette‐Gabriele, Kerstin Kick, Ezio Bonifacio, et al.. (2020). Yield of a Public Health Screening of Children for Islet Autoantibodies in Bavaria, Germany. JAMA. 323(4). 339–339. 165 indexed citations

Eugster, Anne, et al.. (2019). Cytoplasmic ends of tetraspanin 7 harbour epitopes recognised by autoantibodies in type 1 diabetes. Diabetologia. 62(5). 805–810. 7 indexed citations

Hoffmann, Verena, Andreas Weiß, Christiane Winkler, et al.. (2019). Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence. BMC Medicine. 17(1). 125–125. 10 indexed citations

Winkler, Christiane, Manja Jolink, Annette Knopff, et al.. (2019). Age, HLA, and Sex Define a Marked Risk of Organ-Specific Autoimmunity in First-Degree Relatives of Patients With Type 1 Diabetes. Diabetes Care. 42(9). 1684–1691. 14 indexed citations

Telieps, Tanja, et al.. (2018). Novel minor HLA DR associated antigens in type 1 diabetes. Clinical Immunology. 194. 87–91. 7 indexed citations

Jolink, Manja, Christiane Winkler, Sandra Hummel, et al.. (2018). Associations of maternal type 1 diabetes with childhood adiposity and metabolic health in the offspring: a prospective cohort study. Diabetologia. 61(11). 2319–2332. 23 indexed citations

Ungethüm, Kathrin, Manja Jolink, Markus Hippich, et al.. (2018). Physical activity is associated with lower insulin and C‐peptide during glucose challenge in children and adolescents with family background of diabetes. Diabetic Medicine. 36(3). 366–375. 6 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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