Josef D. Schwarzmeier

1.7k total citations
76 papers, 1.3k citations indexed

About

Josef D. Schwarzmeier is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Josef D. Schwarzmeier has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 25 papers in Molecular Biology and 18 papers in Pathology and Forensic Medicine. Recurrent topics in Josef D. Schwarzmeier's work include Chronic Lymphocytic Leukemia Research (34 papers), Lymphoma Diagnosis and Treatment (15 papers) and Acute Lymphoblastic Leukemia research (13 papers). Josef D. Schwarzmeier is often cited by papers focused on Chronic Lymphocytic Leukemia Research (34 papers), Lymphoma Diagnosis and Treatment (15 papers) and Acute Lymphoblastic Leukemia research (13 papers). Josef D. Schwarzmeier collaborates with scholars based in Austria, United States and Germany. Josef D. Schwarzmeier's co-authors include Medhat Shehata, Martin Hilgarth, Rainer Hubmann, Markus Duechler, Elisabeth Paietta, Rudolf Berger, Peter Bettelheim, Ilse Schwarzinger, Alexander Gaiger and Andrea Hoelbl‐Kovacic and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Blood.

In The Last Decade

Josef D. Schwarzmeier

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josef D. Schwarzmeier Austria 20 533 511 324 298 291 76 1.3k
F. Brok‐Simoni Israel 21 584 1.1× 286 0.6× 192 0.6× 362 1.2× 168 0.6× 70 1.4k
Kenneth S. Zuckerman United States 24 598 1.1× 330 0.6× 145 0.4× 469 1.6× 343 1.2× 67 1.5k
Alessandra Meloni Italy 22 452 0.8× 328 0.6× 121 0.4× 282 0.9× 161 0.6× 81 1.7k
Raymond Liang United States 20 937 1.8× 275 0.5× 171 0.5× 354 1.2× 242 0.8× 50 1.8k
Lisa Ma United States 23 493 0.9× 701 1.4× 470 1.5× 623 2.1× 255 0.9× 40 2.1k
Tohru Ikuta United States 20 680 1.3× 789 1.5× 141 0.4× 542 1.8× 104 0.4× 48 1.6k
Christina Halsey United Kingdom 19 599 1.1× 239 0.5× 194 0.6× 352 1.2× 176 0.6× 36 1.3k
Eugene Y. Koh United States 18 847 1.6× 191 0.4× 478 1.5× 232 0.8× 167 0.6× 68 1.8k
Konstantinos Voskarides Cyprus 21 528 1.0× 219 0.4× 130 0.4× 285 1.0× 349 1.2× 56 1.5k
Jacqueline Yaouanq France 20 188 0.4× 393 0.8× 592 1.8× 582 2.0× 269 0.9× 39 1.6k

Countries citing papers authored by Josef D. Schwarzmeier

Since Specialization
Citations

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

Fields of papers citing papers by Josef D. Schwarzmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josef D. Schwarzmeier. 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 Josef D. Schwarzmeier. The network helps show where Josef D. Schwarzmeier may publish in the future.

Co-authorship network of co-authors of Josef D. Schwarzmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Josef D. Schwarzmeier. A scholar is included among the top collaborators of Josef D. Schwarzmeier 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 Josef D. Schwarzmeier. Josef D. Schwarzmeier 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.
Mayer, Rupert L., Josef D. Schwarzmeier, Marlene C. Gerner, et al.. (2017). Proteomics and metabolomics identify molecular mechanisms of aging potentially predisposing for chronic lymphocytic leukemia. Molecular & Cellular Proteomics. 17(2). 290–303. 50 indexed citations
2.
3.
Duechler, Markus, Medhat Shehata, Josef D. Schwarzmeier, et al.. (2004). Induction of apoptosis by proteasome inhibitors in B-CLL cells is associated with downregulation of CD23 and inactivation of Notch2. Leukemia. 19(2). 260–267. 59 indexed citations
4.
Shehata, Medhat, Josef D. Schwarzmeier, Martin Hilgarth, et al.. (2004). TGF-β1 induces bone marrow reticulin fibrosis in hairy cell leukemia. Journal of Clinical Investigation. 113(5). 676–685. 63 indexed citations
5.
6.
Makristathis, Athanasios, Josef D. Schwarzmeier, Robert M. Mader, et al.. (2002). Fatty acid composition and preservation of the Tyrolean Iceman and other mummies. Journal of Lipid Research. 43(12). 2056–2061. 27 indexed citations
7.
Heintel, Daniel, Ilse Schwarzinger, Renate Thalhammer, et al.. (2001). Association of CD38 Antigen Expression with Other Prognostic Parameters in Early Stages of Chronic Lymphocytic Leukemia. Leukemia & lymphoma. 42(6). 1315–1321. 27 indexed citations
8.
Schwarzmeier, Josef D., Sabine Walchshofer, Niklas Zojer, et al.. (1998). A case of bone marrow mastocytosis associated with multiple myeloma. Annals of Hematology. 76(3-4). 167–174. 27 indexed citations
9.
10.
Schwarzmeier, Josef D.. (1996). The role of cytokines in haematopoiesis. European Journal Of Haematology. 57(S60). 69–74. 10 indexed citations
11.
Schwarzmeier, Josef D., Walter Reinisch, Istepan Kürkciyan, et al.. (1991). Case Reports. INTERFERON‐α INDUCES COMPLETE REMISSION IN ANGIOIMMUNOBLASTIC LYMPHADENOPATHY (AILD): LATE DEVELOPMENT OF APLASTIC ANAEMIA WITH CYTOKINE ABNORMALITIES. British Journal of Haematology. 79(2). 336–337. 10 indexed citations
12.
Prischl, Friedrich C., et al.. (1989). Duration of first remission as an indicator of long‐term survival in chronic myelogenous leukaemia. British Journal of Haematology. 71(3). 337–342. 8 indexed citations
13.
Pirker, Robert, et al.. (1986). B-Immunoblastic Lymphoma Arising in Angioimmunoblastic Lymphadenopathy. Acta Haematologica. 75(2). 105–109. 10 indexed citations
14.
Heinz, R., E Neumann, H Hanak, et al.. (1985). CHOP-firstline treatment in NHL with unfavorable prognosis ? Evaluation of therapeutic response and factors influencing prognosis. Annals of Hematology. 50(5). 267–276. 2 indexed citations
15.
Haas, Oskar A., Josef D. Schwarzmeier, Elisabeth P. Nacheva, Peter Fischer, & Elisabeth Paietta. (1984). Investigations on karyotype evolution in patients with chronic myeloid leukemia (CML). Annals of Hematology. 48(1). 33–43. 34 indexed citations
16.
Paietta, Elisabeth & Josef D. Schwarzmeier. (1983). Beta-adrenergic responsiveness of human peripheral lymphocytes after mitogenic transformation with phytohemagglutinin. Biochemical Pharmacology. 32(20). 3085–3089. 8 indexed citations
17.
Paietta, Elisabeth & Josef D. Schwarzmeier. (1981). Phenotypic Changes in a Case of Blast Crisis of CML: Characterization by TdT, Cytochemistry, and Cytogenetics. Scandinavian Journal of Haematology. 27(4). 241–246. 8 indexed citations
18.
Schwarzmeier, Josef D., et al.. (1974). Fructose induced hyperuricemia. Research in Experimental Medicine. 162(4). 341–346. 11 indexed citations
19.
Rainer, H., Karen Moser, & Josef D. Schwarzmeier. (1972). Beeinflussung der Nukleinsäuresynthese menschlicher Granulozyten durch Dexamethasonhemisulfat. Acta Haematologica. 48(1). 16–23. 1 indexed citations
20.
Schwarzmeier, Josef D., et al.. (1971). Pyruvatkinase-Mangel der Erythrocyten bei heredit�rer Myopathie. Journal of Molecular Medicine. 49(3). 156–158. 6 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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