Michael M. Schündeln

53 total papers · 730 total citations
29 papers, 471 citations indexed

About

Michael M. Schündeln is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Michael M. Schündeln has authored 29 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Pediatrics, Perinatology and Child Health and 5 papers in Molecular Biology. Recurrent topics in Michael M. Schündeln's work include Childhood Cancer Survivors' Quality of Life (4 papers), Bone health and treatments (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). Michael M. Schündeln is often cited by papers focused on Childhood Cancer Survivors' Quality of Life (4 papers), Bone health and treatments (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). Michael M. Schündeln collaborates with scholars based in Germany, United States and Austria. Michael M. Schündeln's co-authors include Corinna Grasemann, Berthold P. Hauffa, Regina Wieland, Bernd Schweiger, Ralf Herrmann, Angelika Eggert, W. Sauerwein, Eva Biewald, Norbert Bornfeld and Petra Temming and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael M. Schündeln

27 papers receiving 467 citations

Author Peers

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

Author						Papers	Cites
Michael M. Schündeln	160	97	95	88	80	29	471
Michael Schwarz-Eywill	94 0.6×	84 0.9×	76 0.8×	37 0.4×	96 1.2×	31	546
Rıdvan Mercan	86 0.5×	89 0.9×	121 1.3×	52 0.6×	90 1.1×	52	513
Beate Winkler	140 0.9×	164 1.7×	103 1.1×	8 0.1×	141 1.8×	36	521
Hidetoshi Kaneoka	31 0.2×	81 0.8×	171 1.8×	146 1.7×	69 0.9×	22	477
R Brik	24 0.1×	124 1.3×	236 2.5×	26 0.3×	139 1.7×	41	538
Cinzia Rotondo	56 0.3×	70 0.7×	144 1.5×	19 0.2×	37 0.5×	43	462
WY Au	101 0.6×	70 0.7×	57 0.6×	13 0.1×	310 3.9×	47	548
Kwesi Sackey	66 0.4×	18 0.2×	125 1.3×	23 0.3×	131 1.6×	34	500
Aliakbar Amirzargar	57 0.4×	157 1.6×	107 1.1×	64 0.7×	43 0.5×	25	514
Rajeh Sabbah	138 0.9×	27 0.3×	83 0.9×	22 0.3×	41 0.5×	36	507

Countries citing papers authored by Michael M. Schündeln

Since Specialization

Citations

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

Fields of papers citing papers by Michael M. Schündeln

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Schündeln

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