M Schenker

963 total citations
8 papers, 715 citations indexed

About

M Schenker is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, M Schenker has authored 8 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Genetics and 6 papers in Surgery. Recurrent topics in M Schenker's work include Diabetes and associated disorders (7 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (6 papers). M Schenker is often cited by papers focused on Diabetes and associated disorders (7 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (6 papers). M Schenker collaborates with scholars based in Germany, South Africa and Romania. M Schenker's co-authors include Anette‐Gabriele Ziegler, Michael Hummel, Ezio Bonifacio, Martin Füchtenbusch, D. Seidel, A G Ziegler, M. Sorger, Melanie Walter, Heidrun Janka and E. D. Albert and has published in prestigious journals such as Diabetes Care, Cancer Research and Diabetes.

In The Last Decade

M Schenker

8 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Schenker Germany 6 652 512 510 92 44 8 715
K.M. Spencer United Kingdom 6 705 1.1× 555 1.1× 501 1.0× 130 1.4× 11 0.3× 7 776
Christina Vandewalle Belgium 12 699 1.1× 585 1.1× 528 1.0× 154 1.7× 42 1.0× 15 815
Markus Walter Germany 6 360 0.6× 274 0.5× 260 0.5× 70 0.8× 11 0.3× 9 442
Chantal Stuckens France 10 247 0.4× 249 0.5× 129 0.3× 36 0.4× 7 0.2× 18 432
Otto Laub Germany 7 233 0.4× 230 0.4× 196 0.4× 67 0.7× 10 0.2× 16 413
Mary E. Witt United States 9 246 0.4× 149 0.3× 196 0.4× 42 0.5× 4 0.1× 12 377
T Huupponen Finland 9 218 0.3× 92 0.2× 141 0.3× 68 0.7× 199 4.5× 13 407
D. Brown United Kingdom 4 133 0.2× 56 0.1× 72 0.1× 65 0.7× 16 0.4× 4 314
Pierre Lefebvre Belgium 4 93 0.1× 116 0.2× 103 0.2× 26 0.3× 3 0.1× 8 341
M. M. Kapur India 11 33 0.1× 112 0.2× 100 0.2× 16 0.2× 14 0.3× 32 316

Countries citing papers authored by M Schenker

Since Specialization
Citations

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

Fields of papers citing papers by M Schenker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Schenker

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

All Works

8 of 8 papers shown
1.
Chu, Quincy S., Tudor–Eliade Ciuleanu, Rodryg Ramlau, et al.. (2023). Abstract CT202: Xevinapant plus avelumab in patients (pts) with advanced or metastatic non-small cell lung cancer (NSCLC): Phase 1b dose-expansion results and exploratory biomarker analyses. Cancer Research. 83(8_Supplement). CT202–CT202. 1 indexed citations
2.
Koczwara, Kerstin, et al.. (2003). Characterization of antibody responses to endogenous and exogenous antigen in the nonobese diabetic mouse. Clinical Immunology. 106(2). 155–162. 17 indexed citations
3.
Schenker, M, et al.. (2001). Influence of perinatal factors on the appearance of islet autoantibodies in offspring of parents with type 1 diabetes. Pediatric Diabetes. 2(1). 40–42. 8 indexed citations
4.
Schenker, M, et al.. (2001). Influence of perinatal factors on the appearance of islet autoantibodies in offspring of parents with type 1 diabetes. Pediatric Diabetes. 2(1). 40–42. 3 indexed citations
5.
Hummel, Michael, Martin Füchtenbusch, M Schenker, & Anette‐Gabriele Ziegler. (2000). No major association of breast-feeding, vaccinations, and childhood viral diseases with early islet autoimmunity in the German BABYDIAB Study.. Diabetes Care. 23(7). 969–974. 77 indexed citations
6.
Schenker, M, Michael Hummel, Melanie Walter, et al.. (1999). Early expression and high prevalence of islet autoantibodies for DR3/4 heterozygous and DR4/4 homozygous offspring of parents with Type I diabetes: The German BABYDIAB study. Diabetologia. 42(6). 671–677. 67 indexed citations
7.
Ziegler, Anette‐Gabriele, Michael Hummel, M Schenker, & Ezio Bonifacio. (1999). Autoantibody appearance and risk for development of childhood diabetes in offspring of parents with type 1 diabetes: the 2-year analysis of the German BABYDIAB Study.. Diabetes. 48(3). 460–468. 486 indexed citations
8.
Seidel, D., et al.. (1998). GADIA2-combi determination as first-line screening for improved prediction of type 1 diabetes in relatives.. Diabetes. 47(4). 592–597. 56 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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