Markus Hippich

994 total citations
8 papers, 293 citations indexed

About

Markus Hippich is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Markus Hippich has authored 8 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Surgery and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Markus Hippich's work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes Management and Research (5 papers). Markus Hippich is often cited by papers focused on Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes Management and Research (5 papers). Markus Hippich collaborates with scholars based in Germany, United States and United Kingdom. Markus Hippich's co-authors include Ezio Bonifacio, Anette‐Gabriele Ziegler, Christiane Winkler, Peter Achenbach, Manja Jolink, Florian Haupt, Martin Lang, Kerstin Kick, Katharina Warncke and Désirée Dunstheimer and has published in prestigious journals such as JAMA, Diabetologia and Journal of Medical Genetics.

In The Last Decade

Markus Hippich

8 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Hippich Germany	7	242	224	189	25	18	8	293
Anna Parkkola Finland	10	202 0.8×	168 0.8×	137 0.7×	21 0.8×	14 0.8×	11	252
Jyrki Lähde Finland	5	157 0.6×	126 0.6×	151 0.8×	21 0.8×	13 0.7×	5	210
Manja Jolink Germany	7	210 0.9×	209 0.9×	176 0.9×	8 0.3×	8 0.4×	9	265
Markus Walter Germany	6	360 1.5×	274 1.2×	260 1.4×	70 2.8×	14 0.8×	9	442
Laura A. Knecht United States	4	166 0.7×	225 1.0×	120 0.6×	22 0.9×	19 1.1×	6	283
Marlon Scholz Germany	6	217 0.9×	201 0.9×	191 1.0×	8 0.3×	14 0.8×	8	248
Francesca Di Candia Italy	10	123 0.5×	155 0.7×	111 0.6×	16 0.6×	31 1.7×	27	256
Lisa Rafkin‐Mervis United States	8	388 1.6×	372 1.7×	339 1.8×	29 1.2×	9 0.5×	9	447
Miaoying Zhang China	9	89 0.4×	107 0.5×	78 0.4×	12 0.5×	55 3.1×	18	208
Lorenzo Lenzi Italy	9	97 0.4×	157 0.7×	108 0.6×	8 0.3×	48 2.7×	19	239

Countries citing papers authored by Markus Hippich

Since Specialization

Citations

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

Fields of papers citing papers by Markus Hippich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Hippich

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Achenbach, Peter, Markus Hippich, Jose Zapardiel‐Gonzalo, et al.. (2022). A classification and regression tree analysis identifies subgroups of childhood type 1 diabetes. EBioMedicine. 82. 104118–104118. 23 indexed citations

2.

Bediaga, Naiara G., Connie S.N. Li Wai Suen, Michael J. Haller, et al.. (2021). Simplifying prediction of disease progression in pre-symptomatic type 1 diabetes using a single blood sample. Diabetologia. 64(11). 2432–2444. 21 indexed citations

3.

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

4.

Hippich, Markus, Komal Jain, Christiane Winkler, et al.. (2018). Searching peripheral blood mononuclear cells of children with viral respiratory tract infections preceding islet autoimmunity for viruses by high-throughput sequencing. Acta Diabetologica. 55(8). 881–884. 5 indexed citations

5.

Beyerlein, Andreas, Ezio Bonifacio, Kendra Vehik, et al.. (2018). Progression from islet autoimmunity to clinical type 1 diabetes is influenced by genetic factors: results from the prospective TEDDY study. Journal of Medical Genetics. 56(9). 602–605. 28 indexed citations

6.

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

7.

Kindt, Alida, Michael Laimighofer, Tanja Telieps, et al.. (2017). Allele-specific methylation of type 1 diabetes susceptibility genes. Journal of Autoimmunity. 89. 63–74. 27 indexed citations

8.

Gavrisan, Anita, Julia Reinhardt, Markus Hippich, et al.. (2017). GM-CSF producing autoreactive CD4+ T cells in type 1 diabetes. Clinical Immunology. 188. 23–30. 18 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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