Wichard Vogel

3.4k citations
103 papers · 2.5k · h-index 27

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 1%
    • Mesenchymal stem cell research

Papers in

Wichard Vogel

100 papers receiving 2.4k citations

Peers

Wichard Vogel
Comparison fields: 5 of 124
  • Hematology 697
  • Genetics 631
  • Molecular Medicine 204
  • Immunology 519
  • Applied Microbiology and Biotechnology 44
Replace Isidro Jarque with:
Isidro Jarque Spain
Erlie Jiang China
Charles Crawley United Kingdom
Lisbeth Barkholt Sweden
Carlos Solano Spain
Atsushi Wake Japan
G.R. Morgenstern United Kingdom
A Iacone Italy
William Krüger Germany
Hee Jung Kang South Korea
Wichard Vogel relative to Isidro Jarque Spain Isidro Jarque's profile →
Citations per field
00.5×3.4×
Isidro Jarque · 1×
Citations per year

Countries citing papers authored by Wichard Vogel

Since Specialization
Citations

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

Fields of papers citing papers by Wichard Vogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007373
2
Heterogeneity among human bone marrow-derived mesenchymal stem cells and neural progenitor cells.
2003187
3 1999107
4 2019104
5 2007103
6 200496
7 201395
8 198895
9 200572
10 202062
11 201950
12 201249
13 201049
14 201748
15 201548
16 201046
17 200438
18 198638
19 199635
20 201434

About Wichard Vogel

Wichard Vogel is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Immunology and Genetics, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (30 papers), Acute Myeloid Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (15 papers), Immune Cell Function and Interaction (9 papers), Systemic Sclerosis and Related Diseases (9 papers), Antibiotic Resistance in Bacteria (9 papers), Acute Lymphoblastic Leukemia research (8 papers) and Chronic Lymphocytic Leukemia Research (7 papers). The work is most often cited by research in Hematology (697 citations), Genetics (631 citations), Molecular Medicine (204 citations), Immunology (519 citations) and Applied Microbiology and Biotechnology (44 citations). Wichard Vogel has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Lothar Kanz, Hans‐Jörg Bühring, Venkata Lokesh Battula, Sabrina Treml, B. Schewe, Wolfram Brugger, Wolfgang Bethge, Frank Grünebach, Ingo B. Autenrieth and Christoph Faul. Their work appears in journals such as Blood, Journal of Cancer Research and Clinical Oncology, Annals of Hematology, Lara D. Veeken and Journal of Clinical Oncology.

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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