Michaela Scherr

7.1k citations
111 papers · 5.5k indexed · 2 hit papers · h-index 36

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 17
    • Acute Myeloid Leukemia Research 15
    • MicroRNA in disease regulation 15

Michaela Scherr

109 papers receiving 5.4k citations

Hit Papers

MicroRNA-146a is a therapeutic target and biomarker for peripartum cardiomyopathy 2013 · 380 citations
3802006202620122019250500750

Peers

Michaela Scherr
Comparison fields: 5 of 112
  • Cancer Research 1.1k
  • Biological Psychiatry 169
  • Neurology 520
  • Hematology 585
  • Molecular Biology 3.3k
Replace T Maciag with:
T Maciag United States
Karin Battmer Germany
Karina Reiß Germany
Giorgio Berton Italy
Metsada Pasmanik‐Chor Israel
Hansruedi Loetscher Switzerland
Burkhart Schraven Germany
Hermann Gram Switzerland
Graham C. Parry United States
Paul Krimpenfort Netherlands
Michaela Scherr relative to T Maciag United States T Maciag's profile →
Citations per field
00.5×5.9×
T Maciag · 1×
Citations per year

Countries citing papers authored by Michaela Scherr

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Scherr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20242
5 20215
6 20209
7 201927
8 20193
9 20183
10 201730
11 201219
12 201152
13 200923
14 200915
15 200928
16 200826
17 200744
18 20066
19 200124
20 200024

About Michaela Scherr

Michaela Scherr is a scholar working on Hematology, Cancer Research, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 111 papers that have together received 5.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (26 papers), Chronic Myeloid Leukemia Treatments (17 papers), MicroRNA in disease regulation (15 papers), Acute Myeloid Leukemia Research (15 papers), Virus-based gene therapy research (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), Acute Lymphoblastic Leukemia research (11 papers) and Cardiovascular Issues in Pregnancy (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Biological Psychiatry (169 citations), Neurology (520 citations), Hematology (585 citations) and Molecular Biology (3.3k citations). Michaela Scherr has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Matthias Eder, Karin Battmer, Arnold Ganser, Letizia Venturini, Manuel Grez, Denise Hilfiker‐Kleiner, Karl Welte, Axel Schambach, Julia Skokowa and Christopher Baum. Their work appears in journals such as Blood, Leukemia, PLoS ONE, Cardiovascular Research and Gene Therapy.

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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