Ralph Scherer

537 total citations
18 papers, 409 citations indexed

About

Ralph Scherer is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Ralph Scherer has authored 18 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Ralph Scherer's work include Epigenetics and DNA Methylation (6 papers), Renal and related cancers (6 papers) and Renal cell carcinoma treatment (3 papers). Ralph Scherer is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Renal and related cancers (6 papers) and Renal cell carcinoma treatment (3 papers). Ralph Scherer collaborates with scholars based in Germany, Canada and United States. Ralph Scherer's co-authors include Inga Peters, Natalia Dubrowinskaja, Mahmoud Abbas, Axel S. Merseburger, Jürgen Serth, Arnulf Stenzl, Markus A. Kuczyk, Hossein Tezval, Jörg Hennenlotter and Jörg Eberhard and has published in prestigious journals such as PLoS ONE, American Journal Of Pathology and British Journal of Cancer.

In The Last Decade

Ralph Scherer

17 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralph Scherer Germany 11 217 124 81 72 39 18 409
Hideyuki Sugita Japan 10 137 0.6× 140 1.1× 51 0.6× 169 2.3× 57 1.5× 10 510
Yong‐Wei Fu China 8 122 0.6× 39 0.3× 31 0.4× 125 1.7× 25 0.6× 12 386
Dai Shimizu Japan 10 44 0.2× 55 0.4× 36 0.4× 39 0.5× 36 0.9× 32 278
João Artur Ricieri Brito Brazil 14 219 1.0× 24 0.2× 94 1.2× 119 1.7× 18 0.5× 18 438
Jelena Čarkić Serbia 14 145 0.7× 22 0.2× 36 0.4× 96 1.3× 20 0.5× 33 335
Hisataka Miyai Japan 8 220 1.0× 19 0.2× 191 2.4× 95 1.3× 14 0.4× 14 394
Madhuri Gawande India 13 88 0.4× 59 0.5× 38 0.5× 185 2.6× 21 0.5× 64 479
J. Coster United States 5 65 0.3× 107 0.9× 36 0.4× 24 0.3× 49 1.3× 7 354
P Alberto Colombia 9 40 0.2× 62 0.5× 29 0.4× 45 0.6× 48 1.2× 27 316
Janine Mayra da Silva Brazil 11 102 0.5× 30 0.2× 31 0.4× 101 1.4× 12 0.3× 18 343

Countries citing papers authored by Ralph Scherer

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Scherer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralph Scherer

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

All Works

18 of 18 papers shown
1.
Reinartz, Michael, Martin Wetzke, Christine Happle, et al.. (2016). Neutrophilic superoxide production can assess pharmacological and pharmacogenetic β‐adrenoreceptor effects. Allergy. 71(8). 1223–1227. 3 indexed citations
2.
Junk, Stefanie V., Gunnar Cario, Martin Stanulla, et al.. (2015). Bortezomib Treatment can Overcome Glucocorticoid Resistance in Childhood B-cell Precursor Acute Lymphoblastic Leukemia Cell Lines. Klinische Pädiatrie. 227(3). 123–130. 10 indexed citations
3.
Peters, Inga, Natalia Dubrowinskaja, Mahmoud Abbas, et al.. (2014). DNA Methylation Biomarkers Predict Progression-Free and Overall Survival of Metastatic Renal Cell Cancer (mRCC) Treated with Antiangiogenic Therapies. PLoS ONE. 9(3). e91440–e91440. 41 indexed citations
4.
Kramer, Mario W., Inga Peters, Joerg Hennenlotter, et al.. (2014). Galectin-1 and Galectin-3 mRNA expression in renal cell carcinoma. BMC Clinical Pathology. 14(1). 15–15. 19 indexed citations
5.
Staufenbiel, Ingmar, Ralph Scherer, Markus B. Schilhabel, et al.. (2014). Pyrosequencing of supra- and subgingival biofilms from inflamed peri-implant and periodontal sites. BMC Oral Health. 14(1). 157–157. 44 indexed citations
6.
Kustikova, Olga, et al.. (2014). Dose response and clonal variability of lentiviral tetracycline-regulated vectors in murine hematopoietic cells. Experimental Hematology. 42(7). 505–515.e7. 9 indexed citations
7.
Peters, Inga, Natalia Dubrowinskaja, Faranaz Atschekzei, et al.. (2014). GATA5 CpG island hypermethylation is an independent predictor for poor clinical outcome in renal cell carcinoma. Oncology Reports. 31(4). 1523–1530. 18 indexed citations
8.
Peters, Inga, Natalia Dubrowinskaja, Mahmoud Abbas, et al.. (2014). Decreased GATA5 mRNA expression associates with CpG island methylation and shortened recurrence-free survival in clear cell renal cell carcinoma. BMC Cancer. 14(1). 101–101. 8 indexed citations
9.
Peters, Inga, Natalia Dubrowinskaja, Hossein Tezval, et al.. (2014). Decreased mRNA expression of GATA1 and GATA2 is associated with tumor aggressiveness and poor outcome in clear cell renal cell carcinoma. Targeted Oncology. 10(2). 267–275. 19 indexed citations
10.
Dubrowinskaja, Natalia, Inga Peters, Jörg Hennenlotter, et al.. (2014). Neurofilament Heavy polypeptide CpG island methylation associates with prognosis of renal cell carcinoma and prediction of antivascular endothelial growth factor therapy response. Cancer Medicine. 3(2). 300–309. 40 indexed citations
11.
Eberhard, Jörg, Karsten Grote, Maren Luchtefeld, et al.. (2013). Experimental Gingivitis Induces Systemic Inflammatory Markers in Young Healthy Individuals: A Single-Subject Interventional Study. PLoS ONE. 8(2). e55265–e55265. 51 indexed citations
12.
Tezval, Hossein, Inge Peters, Natalia Dubrowinskaja, et al.. (2013). 198 Hsa-mir-124-3 CpG island methylation is associated with advanced tumours and disease recurrence of patients with clear cell renal cell carcinoma. European Urology Supplements. 12(1). e198–e198. 4 indexed citations
13.
Scherer, Ralph, et al.. (2013). Simultaneous confidence intervals for comparing biodiversity indices estimated from overdispersed count data. Biometrical Journal. 55(2). 246–263. 7 indexed citations
14.
Peters, Inga, Natalia Dubrowinskaja, Jörg Hennenlotter, et al.. (2013). Hsa-mir-124-3 CpG island methylation is associated with advanced tumours and disease recurrence of patients with clear cell renal cell carcinoma. British Journal of Cancer. 108(1). 131–138. 66 indexed citations
15.
Bröcker, Verena, Irina Scheffner, Anke Schwarz, et al.. (2012). Arteriolar Lesions in Renal Transplant Biopsies. American Journal Of Pathology. 180(5). 1852–1862. 23 indexed citations
16.
Zeckey, Christian, Frank Hildebrand, Philipp Mommsen, et al.. (2010). Alcohol and multiple trauma—is there an influence on the outcome?. Alcohol. 45(3). 245–251. 33 indexed citations
17.
Geier, Thomas, et al.. (2008). Production and rooting behaviour of rolB-transgenic plants of grape rootstock ‘Richter 110’ (Vitis berlandieri × V. rupestris). Plant Cell Tissue and Organ Culture (PCTOC). 94(3). 269–280. 14 indexed citations
18.
Brodzinski, James D, et al.. (1993). The human factor. 38(4).

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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