B Dieckmann

1.2k citations
9 papers · 1.0k indexed · 1 hit paper · h-index 9
Topics
Virus-based gene therapy research (2 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)T-cell and B-cell Immunology (2 papers)
Partner nations
United States

In The Last Decade

B Dieckmann

9 papers receiving 950 citations

Hit Papers

A Macrophage Factor Inhibits Adipocyte Gene Expression: A...19852026199820121985100200300400

Peers

B Dieckmann
Comparison fields: 5 of 89
  • Molecular Biology 516
  • Physiology 265
  • Immunology 240
  • Epidemiology 234
  • Genetics 195
Replace W Northemann with:
W Northemann Germany
Kathleen Sue Cook United States
Anjali Desai United States
Monique Agrapart France
Luc Snyers Austria
Germain Rousselet France
Asao Katsume Japan
Mark D. Crew United States
Dhirendra N. Misra United States
A.W. Bell Canada
B Dieckmann relative to W Northemann Germany W Northemann's profile →
Citations per field
00.5×1.5×2.5×
W Northemann · 1×
Citations per year

Countries citing papers authored by B Dieckmann

Since Specialization
Citations

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

Fields of papers citing papers by B Dieckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B Dieckmann

This figure shows the co-authorship network connecting the top 25 collaborators of B Dieckmann. A scholar is included among the top collaborators of B Dieckmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B Dieckmann. B Dieckmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Functional interactions between colony-stimulating factors and the insulin family hormones for human myeloid leukemic cells.
30
2
A Macrophage Factor Inhibits Adipocyte Gene Expression: An in Vitro Model of Cachexiabreakdown →
451
3 23
4 183
5 76
6 113
7
Co-expression and amplification of dihydrofolate reductase cDNA and the Escherichia coli XGPRT gene in Chinese hamster ovary cells.
59
8 53
9 37

About B Dieckmann

B Dieckmann is a scholar working on Endocrine and Autonomic Systems, Immunology and Biochemistry, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (240 citations), Physiology (265 citations) and Molecular Biology (516 citations). B Dieckmann has collaborated with scholars based in United States. Frequent co-authors include G M Ringold, Frank M. Torti, Anthony Cerami, Bruce Beutler, David Knight, Alger B. Chapman, Meg Trahey, Frank McCormick, J L Vannice and Michael A. Innis. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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