Robert Signer

3.5k citations
29 papers · 2.1k · 1 hit paper · h-index 20

Impact in

  • Aging top 2%
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 9
    • Epigenetics and DNA Methylation 2

Robert Signer

28 papers receiving 2.1k citations

Robert Signer's Hit Papers

Haematopoietic stem cells require a highly regulated protein synthesis rate 2014 · 450 citations
4500+4+8Years since publication100200300400

Peers

Robert Signer
Comparison fields: 5 of 103
  • Aging 103
  • Hematology 472
  • Developmental Neuroscience 114
  • Immunology 504
  • Genetics 206
Replace Kovalev Gi with:
Kovalev Gi United States
Jeong‐Heon Lee United States
Lena Ho United States
Benny Motro Israel
Fukun Guo United States
Francesca De Santa Italy
Elena Prosperini Italy
Gwendalyn D. King United States
Oxana Bereshchenko Italy
Adrian Higginbottom United Kingdom
Robert Signer relative to Kovalev Gi United States Kovalev Gi's profile →
Citations per field
00.5×5.8×
Kovalev Gi · 1×
Citations per year

Countries citing papers authored by Robert Signer

Since Specialization
Citations

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

Fields of papers citing papers by Robert Signer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Haematopoietic stem cells require a highly regulated protein synthesis rate
Hit paper breakdown →
2014450
2 2008301
3 2013260
4 2014156
5 2017121
6 2014116
7 201683
8 200879
9 202070
10 202162
11 202056
12 201954
13 200754
14 202146
15 202338
16 201736
17 201234
18 202124
19 201721
20 201619

About Robert Signer

Robert Signer is a scholar working on Hematology, Molecular Biology, Immunology, Physiology and Epidemiology, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Immune Cell Function and Interaction (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Autophagy in Disease and Therapy (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (103 citations), Hematology (472 citations), Developmental Neuroscience (114 citations), Immunology (504 citations) and Genetics (206 citations). Robert Signer has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Sean J. Morrison, Encarnacion Montecino‐Rodriguez, Kenneth Dorshkind, Jeffrey A. Magee, Adrian Salic, Michael Buszczak, Bernadette A. Chua, Lorena Hidalgo San Jose, Owen N. Witte and Mary Jean Sunshine. Their work appears in journals such as Blood, Cell stem cell, Cell Reports, Nature and Genes & Development.

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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