Ulrich Goldmann

1.2k total citations
10 papers, 443 citations indexed

About

Ulrich Goldmann is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Ulrich Goldmann has authored 10 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Ulrich Goldmann's work include Drug Transport and Resistance Mechanisms (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). Ulrich Goldmann is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). Ulrich Goldmann collaborates with scholars based in Austria, Switzerland and Italy. Ulrich Goldmann's co-authors include Bernd Wollscheid, Olga T. Schubert, Damaris Bausch‐Fluck, S. Müller, Marc van Oostrum, Maik Müller, Giulio Superti‐Furga, Enrico Girardi, Vitaly Sedlyarov and Manuele Rebsamen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Ulrich Goldmann

8 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ulrich Goldmann Austria	7	261	117	66	42	39	10	443
Verena Paulitschke Austria	15	291 1.1×	126 1.1×	92 1.4×	56 1.3×	54 1.4×	29	539
Vinay Ayyappan United States	9	221 0.8×	90 0.8×	44 0.7×	73 1.7×	36 0.9×	18	390
Jane M. Bynum United States	9	396 1.5×	152 1.3×	151 2.3×	36 0.9×	25 0.6×	9	714
P. Mahajan United Kingdom	13	562 2.2×	103 0.9×	63 1.0×	31 0.7×	21 0.5×	26	775
G. Valet Germany	11	223 0.9×	107 0.9×	49 0.7×	22 0.5×	24 0.6×	21	403
Daniela Brünnert Germany	13	202 0.8×	56 0.5×	77 1.2×	28 0.7×	14 0.4×	25	373
Lauren G. Zacharias United States	13	494 1.9×	76 0.6×	45 0.7×	149 3.5×	102 2.6×	19	632
Yunping Zhu China	14	401 1.5×	151 1.3×	120 1.8×	73 1.7×	62 1.6×	40	697
Dahvid Davda United States	7	292 1.1×	85 0.7×	29 0.4×	53 1.3×	16 0.4×	7	382
Martin Golkowski United States	14	374 1.4×	67 0.6×	35 0.5×	30 0.7×	86 2.2×	28	511

Countries citing papers authored by Ulrich Goldmann

Since Specialization

Citations

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

Fields of papers citing papers by Ulrich Goldmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Goldmann

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

1.

Wolf, Gernot, Philipp Leippe, Ulrich Goldmann, et al.. (2025). The genetic interaction map of the human solute carrier superfamily. Molecular Systems Biology. 21(6). 531–559.

2.

Kartnig, Felix, Michael Bonelli, Ulrich Goldmann, et al.. (2024). Ex vivo imaging-based high content phenotyping of patients with rheumatoid arthritis. EBioMedicine. 111. 105522–105522.

3.

Wiedmer, Tabea, et al.. (2022). Accelerating SLC Transporter Research: Streamlining Knowledge and Validated Tools. Clinical Pharmacology & Therapeutics. 112(3). 439–442. 6 indexed citations

4.

Li, Kaichun, Enrico Girardi, Felix Kartnig, et al.. (2021). Cell-surface SLC nucleoside transporters and purine levels modulate BRD4-dependent chromatin states. Nature Metabolism. 3(5). 651–664. 15 indexed citations

5.

Girardi, Enrico, Gennaro Agrimi, Ulrich Goldmann, et al.. (2020). Epistasis-driven identification of SLC25A51 as a regulator of human mitochondrial NAD import. Nature Communications. 11(1). 6145–6145. 84 indexed citations

6.

Goldmann, Ulrich, Vitaly Sedlyarov, Stefania Scorzoni, et al.. (2020). A substrate‐based ontology for human solute carriers. Molecular Systems Biology. 16(7). e9652–e9652. 31 indexed citations

7.

Goldmann, Ulrich, et al.. (2019). The transporters SLC35A1 and SLC30A1 play opposite roles in cell survival upon VSV virus infection. Scientific Reports. 9(1). 10471–10471. 19 indexed citations

8.

Bausch‐Fluck, Damaris, Ulrich Goldmann, S. Müller, et al.. (2018). The in silico human surfaceome. Proceedings of the National Academy of Sciences. 115(46). E10988–E10997. 224 indexed citations

9.

Sedlyarov, Vitaly, Ruth Eichner, Enrico Girardi, et al.. (2018). The Bicarbonate Transporter SLC4A7 Plays a Key Role in Macrophage Phagosome Acidification. Cell Host & Microbe. 23(6). 766–774.e5. 62 indexed citations

10.

Goldmann, Ulrich, et al.. (1989). Antiviral effects of recombinant interferon alfa and clinical experience in viral infections.. PubMed. 39(12). 1608–12. 2 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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