Markus Loeffler

58.3k citations
394 papers · 18.6k indexed · 6 hit papers · h-index 71

Markus Loeffler

383 papers receiving 18.2k citations

Hit Papers

Predicting brain-age f...30419902026200220144008001.2k

Peers

Markus Loeffler
Comparison fields: 5 of 202
  • Genetics 4.2k
  • Pathology and Forensic Medicine 5.6k
  • Oncology 5.7k
  • Neurology 2.3k
  • Cancer Research 2.2k
Replace Steven Piantadosi with:
Steven Piantadosi United States
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Citations per field
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Citations per year

Countries citing papers authored by Markus Loeffler

Since Specialization
Citations

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

Fields of papers citing papers by Markus Loeffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Markus Loeffler, 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 Markus Loeffler Line = papers co-authored together Markus Loeffler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 20243
6 20232
7 20233
8 20209
9 202013
10 201727
11 201611
12 2013173
13 2013138
14 2010377
15 2009194
16 2009476
17
Biased and unbiased clonal competition - Application of a new dynamical model of stem cell organization.
20031
18
SCF TREATMENT PREVENTS THE MUTUAL INHIBITION OF GRANULOPOIESIS AND ERYTHROPOIESIS, INDUCED BY EPO AND G-CSF
19931
19
THE MUTUAL INHIBITION OF ERYTHROPOIESIS AND GRANULOPOIESIS DURING G-CSF AND ERYTHROPOIETIN ADMINISTRATION
19921
20
A solution to the controversy on stem cell regulation.
19824

About Markus Loeffler

Markus Loeffler is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 394 papers that have together received 18.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (91 papers), Chronic Lymphocytic Leukemia Research (45 papers), Cancer Cells and Metastasis (30 papers), Glioma Diagnosis and Treatment (28 papers), Hematopoietic Stem Cell Transplantation (27 papers), Lung Cancer Treatments and Mutations (26 papers), Acute Lymphoblastic Leukemia research (22 papers) and CNS Lymphoma Diagnosis and Treatment (18 papers). The work is most often cited by research in Genetics (4.2k citations), Pathology and Forensic Medicine (5.6k citations) and Oncology (5.7k citations). Markus Loeffler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include C.S. Potten, Michael Pfreundschuh, Ingo Roeder, Norbert Schmitz, Christoph Engel, Christopher S. Potten, Marita Ziepert, Dirk Hasenclever, Markus Scholz and Volker Diehl. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, Cell Proliferation and PLoS ONE.

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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