Holger Sueltmann

453 total citations
8 papers, 332 citations indexed

About

Holger Sueltmann is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Holger Sueltmann has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Holger Sueltmann's work include Gene expression and cancer classification (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Bioinformatics and Genomic Networks (2 papers). Holger Sueltmann is often cited by papers focused on Gene expression and cancer classification (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Bioinformatics and Genomic Networks (2 papers). Holger Sueltmann collaborates with scholars based in Germany. Holger Sueltmann's co-authors include Annemarie Poustka, Martin Vingron, Wolfgang Huber, Anja von Heydebreck, Frauke Henjes, Christian Schmidt, Stefan Wiemann, Ulrike Korf, Tim Beißbarth and Christine Sers and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Cancer and BMC Bioinformatics.

In The Last Decade

Holger Sueltmann

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Holger Sueltmann Germany	8	208	61	53	35	29	8	332
Katie Boucher Belgium	7	248 1.2×	56 0.9×	53 1.0×	35 1.0×	36 1.2×	9	410
Hongwen Yao China	9	200 1.0×	70 1.1×	40 0.8×	54 1.5×	35 1.2×	37	399
Mei-Ju May Chen United States	13	213 1.0×	57 0.9×	49 0.9×	57 1.6×	46 1.6×	16	335
Lu Meng China	9	299 1.4×	38 0.6×	29 0.5×	54 1.5×	23 0.8×	12	395
Catherine Snow United Kingdom	3	411 2.0×	46 0.8×	48 0.9×	73 2.1×	26 0.9×	3	544
Leandra Sepe Italy	8	198 1.0×	44 0.7×	18 0.3×	33 0.9×	50 1.7×	18	312
Max Schelker Germany	7	318 1.5×	81 1.3×	73 1.4×	70 2.0×	25 0.9×	7	450
Michaela Bayerlová Germany	12	263 1.3×	91 1.5×	40 0.8×	93 2.7×	53 1.8×	14	405
Stanley G. Leung United States	9	298 1.4×	124 2.0×	35 0.7×	64 1.8×	39 1.3×	25	430

Countries citing papers authored by Holger Sueltmann

Since Specialization

Citations

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

Fields of papers citing papers by Holger Sueltmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Sueltmann

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

All Works

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8 of 8 papers shown

Kazdal, Daniel, Jelena Cvetković, Martina Kirchner, et al.. (2022). Lorlatinib and compound mutations in ALK+ large-cell neuroendocrine lung carcinoma: a case report. Molecular Case Studies. 8(6). mcs.a006234–mcs.a006234. 9 indexed citations

Sers, Christine, Ruprecht Kuner, Christine S. Falk, et al.. (2009). Down‐regulation of HLA Class I and NKG2D ligands through a concerted action of MAPK and DNA methyltransferases in colorectal cancer cells. International Journal of Cancer. 125(7). 1626–1639. 61 indexed citations

Končarević, Saša, Sabine Urig, Stefan Rahlfs, et al.. (2009). Differential genomic and proteomic profiling of glioblastoma cells exposed to terpyridineplatinum(II) complexes. Free Radical Biology and Medicine. 46(8). 1096–1108. 15 indexed citations

Sueltmann, Holger, et al.. (2007). Large scale statistical inference of signaling pathways from RNAi and microarray data. BMC Bioinformatics. 8(1). 386–386. 35 indexed citations

Sueltmann, Holger, Christian Schmidt, Frauke Henjes, et al.. (2007). Infrared‐based protein detection arrays for quantitative proteomics. PROTEOMICS. 7(4). 558–564. 59 indexed citations

Koleganova, Nadezda, Grzegorz Piecha, Holger Sueltmann, et al.. (2007). High expression level of bone degrading proteins as a possible inducer of osteolytic features in pigmented villonodular synovitis. Cancer Letters. 255(2). 275–283. 9 indexed citations

Huber, Wolfgang, Anja von Heydebreck, Holger Sueltmann, Annemarie Poustka, & Martin Vingron. (2003). Parameter estimation for the calibration and variance stabilization of microarray data. Statistical Applications in Genetics and Molecular Biology. 2(1). Article3–Article3. 131 indexed citations

Sueltmann, Holger, et al.. (2003). Statistical Applications in Genetics and Molecular Biology. 13 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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