Ute Holtkamp

677 total citations
9 papers, 356 citations indexed

About

Ute Holtkamp is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Clinical Biochemistry. According to data from OpenAlex, Ute Holtkamp has authored 9 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Clinical Biochemistry. Recurrent topics in Ute Holtkamp's work include Metabolism and Genetic Disorders (3 papers), Genetic and Kidney Cyst Diseases (2 papers) and Sexual Differentiation and Disorders (2 papers). Ute Holtkamp is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Genetic and Kidney Cyst Diseases (2 papers) and Sexual Differentiation and Disorders (2 papers). Ute Holtkamp collaborates with scholars based in Germany, Latvia and France. Ute Holtkamp's co-authors include Nils Janzen, Michael Peter, Ulrike Steuerwald, Johannes Sander, Stefanie Sander, Michael Terhardt, K Schärer, Sabine Rudnik‐Schöneborn, Klaus Zerres and J. Brodehl and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and European Journal of Endocrinology.

In The Last Decade

Ute Holtkamp

9 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ute Holtkamp Germany	6	230	145	130	105	54	9	356
Miller Wl United States	7	218 0.9×	76 0.5×	55 0.4×	157 1.5×	17 0.3×	14	318
Hugo Rocha Portugal	13	227 1.0×	61 0.4×	271 2.1×	26 0.2×	127 2.4×	50	463
Naziha Kaabachi Tunisia	8	84 0.4×	111 0.8×	32 0.2×	22 0.2×	20 0.4×	19	329
Petr Vyleťal Czechia	9	152 0.7×	40 0.3×	23 0.2×	10 0.1×	64 1.2×	10	312
Carlos Knopf Israel	8	187 0.8×	144 1.0×	8 0.1×	90 0.9×	20 0.4×	12	311
L Marianowski Poland	10	60 0.3×	37 0.3×	9 0.1×	51 0.5×	34 0.6×	59	377
G. W. L�hr Germany	10	72 0.3×	32 0.2×	25 0.2×	35 0.3×	109 2.0×	17	325
Kuerbanjiang Abuduxikuer China	12	69 0.3×	60 0.4×	33 0.3×	15 0.1×	40 0.7×	33	295
Seong Beom Cho South Korea	9	92 0.4×	55 0.4×	12 0.1×	44 0.4×	13 0.2×	19	283
Sylwia Szymańska Poland	9	49 0.2×	88 0.6×	13 0.1×	31 0.3×	16 0.3×	40	262

Countries citing papers authored by Ute Holtkamp

Since Specialization

Citations

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

Fields of papers citing papers by Ute Holtkamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Holtkamp

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Holtkamp. A scholar is included among the top collaborators of Ute Holtkamp 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 Ute Holtkamp. Ute Holtkamp 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

Janda, Joachim, Ute Holtkamp, Siegfried Burggraf, et al.. (2023). High Throughput Newborn Screening for Sickle Cell Disease – Application of Two-Tiered Testing with a qPCR-Based Primary screen. Klinische Pädiatrie. 235(6). 366–372. 5 indexed citations

Schreiner, Felix, et al.. (2009). Functional glucocorticoid receptor gene variants do not underlie the high variability of 17-hydroxyprogesterone screening values in healthy newborns. European Journal of Endocrinology. 160(4). 667–673. 5 indexed citations

Holtkamp, Ute, Johannes Sander, Michael Peter, et al.. (2008). EDTA in Dried Blood Spots Leads to False Results in Neonatal Endocrinologic Screening. Clinical Chemistry. 54(3). 602–605. 9 indexed citations

Janzen, Nils, Michael Peter, Stefanie Sander, et al.. (2007). Newborn Screening for Congenital Adrenal Hyperplasia: Additional Steroid Profile using Liquid Chromatography-Tandem Mass Spectrometry. The Journal of Clinical Endocrinology & Metabolism. 92(7). 2581–2589. 164 indexed citations

Sander, Johannes, Nils Janzen, Michael Peter, et al.. (2006). Newborn Screening for Hepatorenal Tyrosinemia: Tandem Mass Spectrometric Quantification of Succinylacetone. Clinical Chemistry. 52(3). 482–487. 40 indexed citations

Bade‐Doeding, Christina, Holger-Andreas Elsner, Britta Eiz‐Vesper, et al.. (2004). A single amino-acid polymorphism in pocket�A of HLA-A*6602 alters the auxiliary anchors compared with HLA-A*6601 ligands. Immunogenetics. 56(2). 83–88. 21 indexed citations

Figueiredo, Constança, Axel Seltsam, Ute Holtkamp, & Rainer Blasczyk. (2004). Stable knock down of non-acceptable HLA mismatches in solid organ transplantation. Human Immunology. 65(9-10). S7–S7. 2 indexed citations

Zerres, Klaus, Sabine Rudnik‐Schöneborn, Felicitas Deget, et al.. (1996). Autosomal recessive polycystic kidney disease in 115 children: clinical presentation, course and influence of gender. Acta Paediatrica. 85(4). 437–445. 103 indexed citations

Konrad, Moira, Klaus Zerres, Elke Wühl, et al.. (1995). Body growth in children with polycystic kidney disease. Acta Paediatrica. 84(11). 1227–1232. 7 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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