E. M. Weissinger

689 total citations
7 papers, 409 citations indexed

About

E. M. Weissinger is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, E. M. Weissinger has authored 7 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Immunology. Recurrent topics in E. M. Weissinger's work include Cytomegalovirus and herpesvirus research (2 papers), Acute Myeloid Leukemia Research (1 paper) and Erythropoietin and Anemia Treatment (1 paper). E. M. Weissinger is often cited by papers focused on Cytomegalovirus and herpesvirus research (2 papers), Acute Myeloid Leukemia Research (1 paper) and Erythropoietin and Anemia Treatment (1 paper). E. M. Weissinger collaborates with scholars based in Germany, United States and India. E. M. Weissinger's co-authors include J F Mushinski, Douglas R. Lowy, John T. Schiller, Reinhard Kirnbauer, Richard B.S. Roden, Darren W. Henderson, Frank P. Booy, Harald Mischak, Michael Walden and Arnold Ganser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Journal of Virology.

In The Last Decade

E. M. Weissinger

7 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. M. Weissinger Germany	7	164	130	107	73	73	7	409
S.-E. Svehag Denmark	15	162 1.0×	129 1.0×	44 0.4×	54 0.7×	19 0.3×	37	563
Maiken L. Henriksen Denmark	9	87 0.5×	95 0.7×	40 0.4×	42 0.6×	29 0.4×	16	412
Hirotsugu Kano Japan	8	127 0.8×	286 2.2×	97 0.9×	64 0.9×	60 0.8×	18	576
Daniele Marras United States	8	31 0.2×	158 1.2×	49 0.5×	20 0.3×	72 1.0×	10	574
Robert A. Dunstan United States	13	268 1.6×	40 0.3×	78 0.7×	87 1.2×	73 1.0×	22	474
Itaru Terai Japan	10	135 0.8×	82 0.6×	82 0.8×	100 1.4×	13 0.2×	12	616
Andréa Monteiro Tarragô Brazil	15	83 0.5×	91 0.7×	79 0.7×	70 1.0×	62 0.8×	45	452
Sandra Tong-Starksen United States	8	58 0.4×	131 1.0×	84 0.8×	16 0.2×	32 0.4×	11	531
Elettra Ortu La Barbera Italy	11	136 0.8×	68 0.5×	58 0.5×	75 1.0×	33 0.5×	30	301
Dávid Héja Hungary	9	103 0.6×	102 0.8×	46 0.4×	66 0.9×	17 0.2×	12	466

Countries citing papers authored by E. M. Weissinger

Since Specialization

Citations

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

Fields of papers citing papers by E. M. Weissinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. M. Weissinger

This figure shows the co-authorship network connecting the top 25 collaborators of E. M. Weissinger. A scholar is included among the top collaborators of E. M. Weissinger 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. M. Weissinger. E. M. Weissinger 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

Dhingra, Akshay, Pavankumar Reddy Varanasi, Salvatore Camiolo, et al.. (2021). Human cytomegalovirus multiple-strain infections and viral population diversity in haematopoietic stem cell transplant recipients analysed by high-throughput sequencing. Medical Microbiology and Immunology. 210(5-6). 291–304. 9 indexed citations

Borchers, Sylvia, E. M. Weissinger, Brigitte Pabst, et al.. (2013). Expansion of recipient‐derived antiviral T cells may influence donor chimerism after allogeneic stem cell transplantation. Transplant Infectious Disease. 15(6). 627–633. 11 indexed citations

Thol, Felicitas, E. M. Weissinger, J. Krauter, et al.. (2010). IDH1 mutations in patients with myelodysplastic syndromes are associated with an unfavorable prognosis. Haematologica. 95(10). 1668–1674. 142 indexed citations

Weissinger, E. M., Thorsten Kaiser, Natalie Meert, et al.. (2004). Proteomics: a novel tool to unravel the patho-physiology of uraemia. Nephrology Dialysis Transplantation. 19(12). 3068–3077. 89 indexed citations

Roden, Richard B.S., E. M. Weissinger, Darren W. Henderson, et al.. (1994). Neutralization of bovine papillomavirus by antibodies to L1 and L2 capsid proteins. Journal of Virology. 68(11). 7570–7574. 132 indexed citations

Weissinger, E. M., Harald Mischak, Joanne Goodnight, Wendy F. Davidson, & J F Mushinski. (1993). Addition of constitutive c-myc expression to Abelson murine leukemia virus changes the phenotype of the cells transformed by the virus from pre-B-cell lymphomas to plasmacytomas.. Molecular and Cellular Biology. 13(4). 2578–2585. 12 indexed citations

Weissinger, E. M., Harald Mischak, David A. Largaespada, et al.. (1991). Induction of plasmacytomas secreting antigen-specific monoclonal antibodies with a retrovirus expressing v-abl and c-myc.. Proceedings of the National Academy of Sciences. 88(19). 8735–8739. 14 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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