Tim Welsink

513 total citations
10 papers, 397 citations indexed

About

Tim Welsink is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tim Welsink has authored 10 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tim Welsink's work include Viral Infectious Diseases and Gene Expression in Insects (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Thyroid Disorders and Treatments (3 papers). Tim Welsink is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Thyroid Disorders and Treatments (3 papers). Tim Welsink collaborates with scholars based in Germany, Netherlands and Ireland. Tim Welsink's co-authors include Jörg Vogel, Sacha Lucchini, Kai Papenfort, Nelly Said, Jay C. D. Hinton, Lutz Schomburg, Josef Köhrle, Waldemar B. Minich, Nils G. Morgenthaler and Anja Eckstein and has published in prestigious journals such as Nature Communications, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Tim Welsink

10 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Welsink Germany	6	212	136	107	92	76	10	397
Dana T. Minnick United States	10	484 2.3×	88 0.6×	72 0.7×	21 0.2×	34 0.4×	11	640
K Nakashima Japan	13	215 1.0×	124 0.9×	100 0.9×	55 0.6×	15 0.2×	28	434
Chittampalli S. Narayanan United States	13	346 1.6×	258 1.9×	147 1.4×	89 1.0×	6 0.1×	17	640
Roberto Lara‐Lemus Mexico	11	243 1.1×	120 0.9×	54 0.5×	11 0.1×	5 0.1×	19	524
Jesper Damgaard Denmark	9	250 1.2×	63 0.5×	68 0.6×	58 0.6×	14 0.2×	17	388
Xuan-Chuan Yu United States	8	329 1.6×	247 1.8×	76 0.7×	131 1.4×	6 0.1×	8	512
Janice M.W. Taylor United Kingdom	11	187 0.9×	26 0.2×	33 0.3×	27 0.3×	7 0.1×	13	349
Su Bu China	12	223 1.1×	94 0.7×	6 0.1×	30 0.3×	17 0.2×	24	389
Xinzhe Yu United States	8	183 0.9×	81 0.6×	27 0.3×	33 0.4×	7 0.1×	10	343
Mrinal Kanti Ghosh India	8	104 0.5×	29 0.2×	24 0.2×	44 0.5×	15 0.2×	13	343

Countries citing papers authored by Tim Welsink

Since Specialization

Citations

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

Fields of papers citing papers by Tim Welsink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Welsink

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

All Works

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10 of 10 papers shown

Minich, Waldemar B., Brent S. Abel, Tim Welsink, et al.. (2023). A Novel In Vitro Assay Correlates Insulin Receptor Autoantibodies With Fasting Insulin in Type B Insulin Resistance. The Journal of Clinical Endocrinology & Metabolism. 108(9). 2324–2329. 3 indexed citations

Ankerhold, Jakob, Sebastian Giese, Philipp Kolb, et al.. (2022). Circulating multimeric immune complexes contribute to immunopathology in COVID-19. Nature Communications. 13(1). 5654–5654. 23 indexed citations

Gstöttner, Christoph, Tao Zhang, Anja Resemann, et al.. (2021). Structural and Functional Characterization of SARS-CoV-2 RBD Domains Produced in Mammalian Cells. Analytical Chemistry. 93(17). 6839–6847. 42 indexed citations

Kühnen, Peter, Niels‐Peter Becker, Tim Welsink, et al.. (2020). Antagonistic Autoantibodies to Insulin-Like Growth Factor-1 Receptor Associate with Poor Physical Strength. International Journal of Molecular Sciences. 21(2). 463–463. 9 indexed citations

Renko, Kostja, Carolin S. Hoefig, Tim Welsink, et al.. (2015). An Improved Nonradioactive Screening Method Identifies Genistein and Xanthohumol as Potent Inhibitors of Iodothyronine Deiodinases. Thyroid. 25(8). 962–968. 66 indexed citations

Beckmann, Tim, et al.. (2015). Reconciling pillars of transient gene expression: From DNA prep via media, reagent and cell line development to holistic process optimization. BMC Proceedings. 9(S9). 1 indexed citations

Beckmann, Tim, et al.. (2015). Medium development beyond production media: Chemically defined media for transfection and single cell cultivation. BMC Proceedings. 9(S9). 1 indexed citations

Welsink, Tim, et al.. (2013). INVect - a novel polycationic reagent for transient transfection of mammalian cells. BMC Proceedings. 7(S6). 2 indexed citations

Minich, Waldemar B., Tim Welsink, Nils G. Morgenthaler, et al.. (2012). Autoantibodies to the IGF1 Receptor in Graves' Orbitopathy. The Journal of Clinical Endocrinology & Metabolism. 98(2). 752–760. 72 indexed citations

10.

Papenfort, Kai, Nelly Said, Tim Welsink, et al.. (2009). Specific and pleiotropic patterns of mRNA regulation by ArcZ, a conserved, Hfq‐dependent small RNA. Molecular Microbiology. 74(1). 139–158. 178 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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