M. Sieber

2k citations
31 papers · 1.6k · h-index 19

Impact in

Papers in

M. Sieber

29 papers receiving 1.5k citations

Peers

M. Sieber
Comparison fields: 5 of 63
  • Pathology and Forensic Medicine 1k
  • Oncology 241
  • Reproductive Medicine 52
  • Public Health, Environmental and Occupational Health 154
  • Hematology 58
Replace Teresa Veronika Halbsguth with:
Teresa Veronika Halbsguth Germany
Karolin Behringer Germany
Helen Goergen Germany
Henning Bredenfeld Germany
José C. Díaz‐Maqueo Mexico
Wolfgang Dörffel Germany
Wilma G.J.M. Smit Netherlands
Hanne Stensheim Norway
Arthur H. Rossof United States
Ray Hutchinson United States
M. Sieber relative to Teresa Veronika Halbsguth Germany Teresa Veronika Halbsguth's profile →
Citations per field
00.5×1.5×
Teresa Veronika Halbsguth · 1×
Citations per year

Countries citing papers authored by M. Sieber

Since Specialization
Citations

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

Fields of papers citing papers by M. Sieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Sieber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Sieber Line = papers co-authored together M. Sieber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002183
2 2001159
3 1998148
4 2004131
5 1997124
6 2003112
7 200375
8 199769
9 199568
10 200168
11 200366
12 199853
13 200041
14 200241
15 200436
16 199833
17 199830
18 200324
19 199920
20
200015

About M. Sieber

M. Sieber is a scholar working on Pathology and Forensic Medicine, Oncology, Reproductive Medicine, Statistics and Probability and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (24 papers), Cancer survivorship and care (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Statistical Methods in Clinical Trials (1 paper), Sperm and Testicular Function (1 paper), Reproductive Biology and Fertility (1 paper), Viral-associated cancers and disorders (1 paper) and Pharmaceutical studies and practices (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (1k citations), Oncology (241 citations), Reproductive Medicine (52 citations), Public Health, Environmental and Occupational Health (154 citations) and Hematology (58 citations). M. Sieber has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Volker Diehl, Andreas Josting, Andreas Engert, B. Lathan, Hans Tesch, Peter Koch, Bernd Dörken, MY Mapara, Jens Ulrich Rüffer and Andreas Engert. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Blood, Annals of Hematology and Oncology.

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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