C Baum

704 citations
18 papers · 566 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 7
    • CRISPR and Genetic Engineering 4
    • Virus-based gene therapy research 11
    • Mesenchymal stem cell research 2

C Baum

18 papers receiving 534 citations

Peers

C Baum
Comparison fields: 5 of 48
  • Infectious Diseases 210
  • Genetics 222
  • Oncology 121
  • Hematology 48
  • Virology 19
Replace Louise A. Veltrop‐Duits with:
Louise A. Veltrop‐Duits Netherlands
Richard D. Schneiderman United States
Claire‐Michèle Farber Belgium
C. Melissa United States
ALAIN FISCHER France
Frank Schakowski Germany
Anne Christin United States
Alison Innes United States
Steve Albelda United States
Rosie Hague United Kingdom
C Baum relative to Louise A. Veltrop‐Duits Netherlands Louise A. Veltrop‐Duits's profile →
Citations per field
00.5×1.5×2.4×
Louise A. Veltrop‐Duits · 1×
Citations per year

Countries citing papers authored by C Baum

Since Specialization
Citations

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

Fields of papers citing papers by C Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1979185
2 200092
3 200246
4 200136
5 200034
6 201125
7 200024
8 199923
9 197421
10 200618
11 200015
12
Activity of Friend mink cell focus-forming retrovirus during myelo-erythroid hematopoiesis.
199614
13 201411
14 20096
15
Analysis of candidate human blood stem cells in "humanized" immune-deficiency SCID mice.
19936
16 20005
17 20004
18 19981

About C Baum

C Baum is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Virology and Oncology, having authored 18 papers that have together received 566 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), RNA Interference and Gene Delivery (7 papers), CRISPR and Genetic Engineering (4 papers), HIV Research and Treatment (3 papers), Tuberculosis Research and Epidemiology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Mesenchymal stem cell research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Infectious Diseases (210 citations), Genetics (222 citations), Oncology (121 citations), Hematology (48 citations) and Virology (19 citations). C Baum has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include G W Comstock, Dixie E. Snider, Klaus Kühlcke, Bernhard Schiedlmeier, Stefan Früehauf, W. Jens Zeller, H. G. Eckert, Christian Lindemann, Wolfram Ostertag and Boris Fehse. Their work appears in journals such as Gene Therapy, Bone Marrow Transplantation, Leukemia, Molecular Therapy and Blood.

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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