E. Pflüger

586 total citations
7 papers, 442 citations indexed

About

E. Pflüger is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, E. Pflüger has authored 7 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in E. Pflüger's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Research and Treatments (2 papers). E. Pflüger is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Research and Treatments (2 papers). E. Pflüger collaborates with scholars based in Germany, Italy and United States. E. Pflüger's co-authors include Andreas Radbruch, Stefan Miltenyi, Mario Assenmacher, Rudi Manz, Volker Schirrmacher, Lidia Larizza, Meike Stöhr, Andreas Thiel, Lynn Graf and R Dzarlieva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and JNCI Journal of the National Cancer Institute.

In The Last Decade

E. Pflüger

7 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Pflüger Germany	7	190	144	117	74	73	7	442
Wanhua Yang China	12	204 1.1×	201 1.4×	173 1.5×	66 0.9×	86 1.2×	20	532
Fang-An Chen United States	13	197 1.0×	181 1.3×	156 1.3×	45 0.6×	86 1.2×	15	463
Wolfgang Haedicke Germany	9	219 1.2×	264 1.8×	175 1.5×	24 0.3×	112 1.5×	14	638
T Yasukouchi Japan	11	140 0.7×	129 0.9×	72 0.6×	38 0.5×	23 0.3×	36	527
Stefania Forti Italy	9	85 0.4×	232 1.6×	139 1.2×	73 1.0×	56 0.8×	10	523
Mark Hill United Kingdom	4	235 1.2×	193 1.3×	243 2.1×	23 0.3×	158 2.2×	4	554
Kristi Cumming United States	3	149 0.8×	213 1.5×	226 1.9×	40 0.5×	117 1.6×	3	610
Narendiran Rajasekaran United States	12	233 1.2×	154 1.1×	170 1.5×	32 0.4×	66 0.9×	40	531
Biying Xu United States	14	243 1.3×	137 1.0×	195 1.7×	192 2.6×	114 1.6×	29	708
Amanda McWatters United States	14	112 0.6×	221 1.5×	191 1.6×	110 1.5×	91 1.2×	27	538

Countries citing papers authored by E. Pflüger

Since Specialization

Citations

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

Fields of papers citing papers by E. Pflüger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Pflüger

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

All Works

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7 of 7 papers shown

Manz, Rudi, Mario Assenmacher, E. Pflüger, Stefan Miltenyi, & Andreas Radbruch. (1995). Analysis and sorting of live cells according to secreted molecules, relocated to a cell-surface affinity matrix.. Proceedings of the National Academy of Sciences. 92(6). 1921–1925. 231 indexed citations

Radbruch, Andreas, et al.. (1994). Chapter 23 High-Gradient Magnetic Cell Sorting. Methods in cell biology. 42 Pt B. 387–403. 66 indexed citations

Holtz, J., et al.. (1994). Simple and Fast “Double‐MACS” Sorting of Fetal Erythroblasts from Maternal Blood for PCR‐Based Paternity Analysis. Annals of the New York Academy of Sciences. 731(1). 144–146. 9 indexed citations

Pflüger, E., et al.. (1988). Generation of adhesive tumor variants: Chromosomal changes, reduction in malignancy and increased expression of a distinct membrane glycoprotein. Clinical & Experimental Metastasis. 6(6). 485–499. 10 indexed citations

Larizza, Lidia, Volker Schirrmacher, & E. Pflüger. (1984). Acquisition of high metastatic capacity after in vitro fusion of a nonmetastatic tumor line with a bone marrow-derived macrophage.. The Journal of Experimental Medicine. 160(5). 1579–1584. 46 indexed citations

Larizza, Lidia, Volker Schirrmacher, Meike Stöhr, E. Pflüger, & R Dzarlieva. (1984). Inheritance of Immunogenicity and Metastatic Potential in Murine Cell Hybrids from the T-Lymphoma ESb08 and Normal Spleen Lymphocytes<xref ref-type="fn" rid="FN2">2</xref>. JNCI Journal of the National Cancer Institute. 72(6). 1371–81. 13 indexed citations

Larizza, Lidia, et al.. (1984). Suggestive evidence that the highly metastatic variant ESB of the T‐cell lymphoma eb is derived from spontaneous fusion with a host macrophage. International Journal of Cancer. 34(5). 699–707. 67 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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