G. Michlmayr

29 total papers · 408 total citations
15 papers, 132 citations indexed

About

G. Michlmayr is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, G. Michlmayr has authored 15 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 4 papers in Genetics and 4 papers in Pathology and Forensic Medicine. Recurrent topics in G. Michlmayr's work include Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). G. Michlmayr is often cited by papers focused on Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). G. Michlmayr collaborates with scholars based in Austria, Germany and Slovakia. G. Michlmayr's co-authors include H. Huber, F. Weber, Michael Fridrik, K Abbrederis, H. Hausmaninger, P. Sevelda, J. Düllmann, D. Lutz, O. Krieger and Elisabeth Koller and has published in prestigious journals such as The Journal of Immunology, Cryobiology and Leukemia Research.

In The Last Decade

G. Michlmayr

13 papers receiving 109 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. Michlmayr	41	41	31	26	23	15	132
Ana Karen Nunez Cortes	22 0.5×	41 1.0×	43 1.4×	26 1.0×	31 1.3×	12	120
Ghada Abusin	32 0.8×	56 1.4×	14 0.5×	9 0.3×	30 1.3×	15	118
Chiara Pavoni	17 0.4×	56 1.4×	33 1.1×	29 1.1×	37 1.6×	18	113
Maria Chiara Fontana	52 1.3×	75 1.8×	40 1.3×	74 2.8×	36 1.6×	16	156
Carolien Duetz	21 0.5×	71 1.7×	22 0.7×	43 1.7×	30 1.3×	15	132
Kenichi Ishiyama	50 1.2×	25 0.6×	44 1.4×	45 1.7×	11 0.5×	12	124
Hayato Tamai	32 0.8×	60 1.5×	28 0.9×	78 3.0×	13 0.6×	19	144
Nicola Cantore	20 0.5×	84 2.0×	41 1.3×	43 1.7×	44 1.9×	14	158
Natalie Ertz-Archambault	18 0.4×	42 1.0×	45 1.5×	57 2.2×	27 1.2×	13	144
Marie Thérèse Daniel	21 0.5×	69 1.7×	11 0.4×	45 1.7×	23 1.0×	10	145

Countries citing papers authored by G. Michlmayr

Since Specialization

Citations

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

Fields of papers citing papers by G. Michlmayr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Michlmayr

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

All Works

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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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