Maya Sieber‐Blum

4.0k citations
81 papers · 3.4k indexed · h-index 34

Impact in

Papers in

Maya Sieber‐Blum

81 papers receiving 3.3k citations

Peers

Maya Sieber‐Blum
Comparison fields: 5 of 108
  • Developmental Neuroscience 860
  • Urology 350
  • Cellular and Molecular Neuroscience 928
  • Genetics 375
  • Molecular Biology 2.0k
Replace Jean M. Hébert with:
Jean M. Hébert United States
Élisabeth Dupin France
Henk Roelink United States
Miloš Grim Czechia
Jean G. Toma Canada
Joan Galcerán Spain
Sacri R. Ferrón Spain
Amel Gritli-Linde Sweden
Shigemi Hayashi United States
Corrinne G. Lobe Canada
Maya Sieber‐Blum relative to Jean M. Hébert United States Jean M. Hébert's profile →
Citations per field
00.5×1.5×1.8×
Jean M. Hébert · 1×
Citations per year

Countries citing papers authored by Maya Sieber‐Blum

Since Specialization
Citations

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

Fields of papers citing papers by Maya Sieber‐Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201814
2 201312
3 201114
4 20116
5 201066
6 200862
7 200813
8 2004303
9 200428
10 200325
11 200341
12 200395
13
Neurotrophins and the neural crest
199821
14 199368
15 199367
16 1993101
17 199220
18 199188
19 19893
20 19883

About Maya Sieber‐Blum

Maya Sieber‐Blum is a scholar working on Developmental Neuroscience, Urology, Developmental Biology, Cellular and Molecular Neuroscience and Cancer Research, having authored 81 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (26 papers), Developmental Biology and Gene Regulation (18 papers), Nerve injury and regeneration (14 papers), Hair Growth and Disorders (12 papers), Congenital heart defects research (11 papers), melanin and skin pigmentation (10 papers), Neuropeptides and Animal Physiology (9 papers) and Pluripotent Stem Cells Research (8 papers). The work is most often cited by research in Developmental Neuroscience (860 citations), Urology (350 citations), Cellular and Molecular Neuroscience (928 citations), Genetics (375 citations) and Molecular Biology (2.0k citations). Maya Sieber‐Blum has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Miloš Grim, Alan M. Cohen, Yao Hu, Viktor Szeder, Fritz Sieber, Kazuo Ito, Michael K. Richardson, Kazuo Itô, Carol J. Langtimm and Oliver Clewes. Their work appears in journals such as Developmental Biology, Developmental Dynamics, Developmental Neuroscience, Molecular and Cellular Neuroscience and Brain Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026