E. Pittermann

547 total citations
34 papers, 398 citations indexed

About

E. Pittermann is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, E. Pittermann has authored 34 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 9 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in E. Pittermann's work include Acute Myeloid Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). E. Pittermann is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). E. Pittermann collaborates with scholars based in Austria, Slovakia and United States. E. Pittermann's co-authors include Michael Pfeilstöcker, Thomas Nösslinger, Heinz Tüchler, Hadwiga Nowotny, R. Heinz, Elisabeth Koller, Ernst Schlögl, Theresa Wagner, Michael Seifert and Thomas H. Helbich and has published in prestigious journals such as Blood, British Journal of Cancer and Stem Cells.

In The Last Decade

E. Pittermann

31 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Pittermann Austria 8 253 127 81 80 72 34 398
A. G. Bynoe United Kingdom 11 250 1.0× 108 0.9× 42 0.5× 86 1.1× 74 1.0× 23 403
Paola Maria Cavigliano Italy 12 324 1.3× 136 1.1× 63 0.8× 94 1.2× 51 0.7× 27 384
Janet Hayden United Kingdom 6 531 2.1× 169 1.3× 73 0.9× 102 1.3× 34 0.5× 11 648
D. Irriguible Spain 8 495 2.0× 225 1.8× 35 0.4× 99 1.2× 72 1.0× 14 528
Michael J. Keating United States 9 292 1.2× 104 0.8× 21 0.3× 120 1.5× 41 0.6× 10 400
Arjan van de Loosdrecht Netherlands 9 547 2.2× 252 2.0× 89 1.1× 123 1.5× 49 0.7× 22 643
Bloomfield Cd United States 12 220 0.9× 76 0.6× 29 0.4× 101 1.3× 106 1.5× 23 416
P Anderlini United States 8 552 2.2× 136 1.1× 46 0.6× 70 0.9× 35 0.5× 9 619
V. Shetty United States 7 505 2.0× 135 1.1× 51 0.6× 250 3.1× 23 0.3× 9 643
R Cerri Italy 13 387 1.5× 125 1.0× 32 0.4× 123 1.5× 59 0.8× 32 517

Countries citing papers authored by E. Pittermann

Since Specialization
Citations

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

Fields of papers citing papers by E. Pittermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

20 of 20 papers shown
1.
Pfeilstöcker, Michael, et al.. (2011). Time changes in predictive power of established and recently proposed clinical, cytogenetical and comorbidity scores for Myelodysplastic Syndromes. Leukemia Research. 36(2). 132–139. 14 indexed citations
2.
Valent, Peter, Günther Gastl, Klaus Geißler, et al.. (2011). Nilotinib as frontline and second-line therapy in chronic myeloid leukemia: Open questions. Critical Reviews in Oncology/Hematology. 82(3). 370–377. 7 indexed citations
3.
Fillitz, Michael, Heidrun Karlic, Heinz Tüchler, et al.. (2006). Does mRNA level of microsomal carnitine palmitoyltransferase predict yield of peripheral blood stem cell apheresis?. Annals of Hematology. 85(6). 386–393. 1 indexed citations
4.
Pfeilstöcker, Michael, Heidrun Karlic, Thomas Nösslinger, et al.. (2002). Assessment of growth and differentiation processes in myelodysplastic syndromes by PCR analysis of Gα16 and 5′-lipoxygenase. Annals of Hematology. 81(11). 632–640. 2 indexed citations
5.
Hopfinger, Georg, Günther Stockhammer, Alireza Karimi, et al.. (2002). FACS analysis—a new and accurate tool in the diagnosis of lymphoma in the cerebrospinal fluid. Clinica Chimica Acta. 317(1-2). 101–107. 23 indexed citations
6.
Nösslinger, Thomas, et al.. (2001). Dysplastic versus proliferative CMML – a retrospective analysis of 91 patients from a single institution. Leukemia Research. 25(9). 741–747. 44 indexed citations
8.
Nösslinger, Thomas, Elisabeth Koller, Heinz Tüchler, et al.. (2001). Myelodysplastic syndromes, from French-American-British to World Health Organization: comparison of classifications on 431 unselected patients from a single institution. Blood. 98(10). 2935–2941. 91 indexed citations
9.
Pfeilstöcker, Michael, et al.. (2000). Hematopoietic recovery after IEV chemotherapy for malignant lymphoma followed by different cytokines can be monitored by analysis of Gα 16 and CD34. American Journal of Hematology. 64(3). 156–160. 3 indexed citations
10.
Wagner, Theresa, Regine Ahner, Alexandra Auterith, et al.. (2000). Attitude towards prophylactic surgery and effects of genetic counselling in families with BRCA mutations. British Journal of Cancer. 82(7). 1249–1253. 67 indexed citations
11.
Pfeilstöcker, Michael, Thomas Nösslinger, Hadwiga Nowotny, et al.. (1999). Cross‐validation of prognostic scores in myelodysplastic syndromes on 386 patients from a single institution confirms importance of cytogenetics. British Journal of Haematology. 106(2). 455–463. 67 indexed citations
12.
Pavlova, Borislava G., et al.. (1999). Association of GB virus C (GBV-C)/hepatitis G virus (HGV) with haematological diseases of different malignant potential. Journal of Medical Virology. 57(4). 361–366. 18 indexed citations
14.
Pfeilstöcker, Michael, et al.. (1998). Monitoring of hematopoietic recovery after autologous stem cell transplantation by analysis of G alpha 16 mRNA and CD34 surface glycoprotein. Annals of Hematology. 76(3-4). 153–158. 5 indexed citations
15.
Koller, Elisabeth, O. Krieger, Martin Mistrík, et al.. (1995). Early detection of minimal residual disease by reverse transcriptase polymerase chain reaction predicts relapse in acute promyelocytic leukemia. Annals of Hematology. 70(2). 75–78. 13 indexed citations
16.
Koller, Elisabeth, O. Krieger, Martin Mistrík, et al.. (1995). Early detection of minimal residual disease by reverse transcriptase polymerase chain reaction predicts relapse in acute promyelocytic leukemia. Annals of Hematology. 70(2). 75–78. 1 indexed citations
17.
Hopfinger, Georg, R. Heinz, Elisabeth Koller, Bryan J. Schneider, & E. Pittermann. (1995). Ifosfamide, mitoxantrone and etoposide (VIM) as salvage therapy of low toxicity in non‐Hodgkin's lymphoma. European Journal Of Haematology. 55(4). 223–227. 6 indexed citations
18.
Höcker, P & E. Pittermann. (1985). [Plasma exchange therapy in hematology].. PubMed. 97(3). 115–22. 2 indexed citations
19.
Höcker, P, et al.. (1974). Therapeutische, funktionelle und kinetische Aspekte der Leukopheresetherapie chronischer lymphatischer Leukämien. Annals of Hematology. 28(6). 396–410. 3 indexed citations
20.
Rainer, H., U. Ganzinger, P Höcker, et al.. (1974). Steigerung der Aufnahme Aminoacylierter Transferribonucleinsäuren menschlicher Leukocyten nach Genaktivierung durch Phytohæmagglutinin und bei Leukämie. Journal of Molecular Medicine. 52(3). 138–142. 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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