R. Neumann

418 total citations
20 papers, 326 citations indexed

About

R. Neumann is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, R. Neumann has authored 20 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in R. Neumann's work include HER2/EGFR in Cancer Research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Logic, programming, and type systems (2 papers). R. Neumann is often cited by papers focused on HER2/EGFR in Cancer Research (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Logic, programming, and type systems (2 papers). R. Neumann collaborates with scholars based in Germany, France and United States. R. Neumann's co-authors include Kai‐Uwe Eckardt, J Dittmer, K. Hacène, Christian Bauer, Armin Kurtz, M. Pichon, Ulrich Frei, Bjoern Buchholz, R. Brunkhorst and G Keusch and has published in prestigious journals such as Journal of Clinical Investigation, American Journal of Physiology-Renal Physiology and Breast Cancer Research and Treatment.

In The Last Decade

R. Neumann

17 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Neumann Germany	10	125	96	91	87	57	20	326
Giovanna Digiesi Italy	13	158 1.3×	189 2.0×	38 0.4×	71 0.8×	12 0.2×	21	417
Li‐Qun Zhang China	7	59 0.5×	160 1.7×	40 0.4×	13 0.1×	27 0.5×	34	329
Ioannis Roxanis United Kingdom	12	86 0.7×	142 1.5×	25 0.3×	48 0.6×	14 0.2×	17	443
María J. García‐Barchino Spain	9	290 2.3×	237 2.5×	41 0.5×	130 1.5×	52 0.9×	10	508
Anson K. Abraham United States	12	138 1.1×	152 1.6×	17 0.2×	103 1.2×	10 0.2×	17	353
Maria Carmela Vegliante Italy	12	192 1.5×	195 2.0×	11 0.1×	35 0.4×	22 0.4×	18	495
Mark Peek United States	9	60 0.5×	219 2.3×	105 1.2×	20 0.2×	20 0.4×	9	456
Renate Weber Austria	9	165 1.3×	137 1.4×	7 0.1×	35 0.4×	97 1.7×	13	370
Guenter Daxenbichler Austria	7	211 1.7×	261 2.7×	8 0.1×	19 0.2×	53 0.9×	9	446
Corina N.A.M. Oldenhuis Netherlands	9	192 1.5×	335 3.5×	10 0.1×	45 0.5×	34 0.6×	13	544

Countries citing papers authored by R. Neumann

Since Specialization

Citations

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

Fields of papers citing papers by R. Neumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Neumann

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

All Works

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20 of 20 papers shown

Hoopmann, Markus, Konrad Sachse, Markus M. Valter, et al.. (2010). Serological and immunohistochemical HER-2/neu statuses do not correlate and lack prognostic value for ovarian cancer patients. European Journal of Cancer Care. 19(6). 809–815. 12 indexed citations

Witzel, Isabell, Christoph Thomssen, Waldemar Wilczak, et al.. (2006). Clinical Utility of Determination of HER-2/neu and EGFR Fragments in Serum of Patients with Metastatic Breast Cancer. The International Journal of Biological Markers. 21(3). 131–140. 17 indexed citations

Pallud, C., J M Guinebretière, K. Hacène, et al.. (2005). Tissue expression and serum levels of the oncoprotein HER-2/neu in 157 primary breast tumours.. PubMed. 25(2B). 1433–40. 20 indexed citations

Neumann, R., et al.. (2004). Sequence-specific DNA strand cleavage by 111 In-labeled peptide nucleic acids. European Journal of Nuclear Medicine and Molecular Imaging. 31(6). 837–845. 21 indexed citations

Saghatchian, Mahasti, et al.. (2004). Serum HER-2 Extracellular Domain: Relationship with Clinicobiological Presentation and Prognostic Value before and after Primary Treatment in 701 Breast Cancer Patients. The International Journal of Biological Markers. 19(1). 14–22. 15 indexed citations

Pichon, M., et al.. (2004). Longitudinal changes in serum her-2/neu oncoprotein levels in trastuzumab-treated metastatic breast cancer patients. European Journal of Cancer Supplements. 2(3). 138–139. 7 indexed citations

Saghatchian, Mahasti, et al.. (2004). Serum HER-2 extracellular domain: Relationship with clinicobiological presentation and prognostic value before and after primary treatment in 701 breast cancer patients. The International Journal of Biological Markers. 19(1). 14–22. 27 indexed citations

Löwe, Welf, R. Neumann, Martin Trapp, & Wolf Zimmermann. (2003). Robust dynamic exchange of implementation aspects. 351–360. 7 indexed citations

Neumann, R., et al.. (2002). Mechanical generation of robust class hierarchies. 282–291. 1 indexed citations

10.

Löwe, Welf, R. Neumann, Martin Trapp, & Wolf Zimmermann. (2002). Weak subtyping-yet another notion of inheritance. 322. 333–345.

11.

Kasimir‐Bauer, Sabine, et al.. (2001). Survival of tumor cells in stem cell preparations and bone marrow of patients with high-risk or metastatic breast cancer after receiving dose-intensive or high-dose chemotherapy.. PubMed. 7(6). 1582–9. 30 indexed citations

12.

Kasimir‐Bauer, Sabine, et al.. (2001). Evaluation of different methods for the detection of minimal residual disease in blood and bone marrow of patients with primary breast cancer: importance for clinical use?. Breast Cancer Research and Treatment. 69(2). 123–132. 11 indexed citations

13.

Neumann, R., et al.. (2001). FUTURE REAR LIGHTING TRENDS - SAFETY AND STYLING ASPECTS. 3 indexed citations

14.

Frick, Arne, et al.. (2000). Construction of robust class hierarchies. Software Practice and Experience. 30(5). 481–543. 1 indexed citations

15.

Frick, Arne, Gerhard Goos, R. Neumann, & Wolf Zimmermann. (2000). Construction of robust class hierarchies. Software Practice and Experience. 30(5). 481–543. 3 indexed citations

16.

Simón, M., R. Neumann, & B. Bültmann. (1992). Demonstration of Epstein-Barn viral DNA in paraffin-embedded specimens of lymphoproliferative syndrome. Pathology - Research and Practice. 188(1-2). 106–114.

17.

Merino, Maria J., Carlos Monteagudo, & R. Neumann. (1991). Monoclonal antibodies for radioimmunoscintigraphy of breast cancer. International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology. 18(4). 437–443. 3 indexed citations

18.

Eckardt, Kai‐Uwe, J Dittmer, R. Neumann, Christian Bauer, & Armin Kurtz. (1990). Decline of erythropoietin formation at continuous hypoxia is not due to feedback inhibition. American Journal of Physiology-Renal Physiology. 258(5). F1432–F1437. 57 indexed citations

19.

Eckardt, Kai‐Uwe, R. Neumann, R. Brunkhorst, et al.. (1989). Erythropoietin in polycystic kidneys.. Journal of Clinical Investigation. 84(4). 1160–1166. 91 indexed citations

20.

Neumann, R., et al.. (1983). Locating structures by interactive wavefront processing. 282–283.

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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