Benjamin Dannenmann

475 citations
22 papers · 251 · h-index 10

Impact in

Papers in

    • Blood disorders and treatments 11
    • CRISPR and Genetic Engineering 6
    • Pluripotent Stem Cells Research 4

Benjamin Dannenmann

20 papers receiving 249 citations

Peers

Benjamin Dannenmann
Comparison fields: 5 of 74
  • Hematology 32
  • Business and International Management 5
  • Molecular Biology 131
  • Immunology 36
  • Aging 3
Replace Mirunalini Ravichandran with:
Mirunalini Ravichandran Germany
Edwin Oole Netherlands
Alanna C. Green Australia
Tomohiro Miyai Japan
Céline Bourgne France
Charikleia Papadopoulou United Kingdom
Irina V. Ustyugova United States
Rana El Masri France
Benjamin Dannenmann relative to Mirunalini Ravichandran Germany Mirunalini Ravichandran's profile →
Citations per field
00.5×2.9×
Mirunalini Ravichandran · 1×
Citations per year

Countries citing papers authored by Benjamin Dannenmann

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Dannenmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201573
2 202037
3 201519
4 201718
5 201916
6 201815
7 201914
8 202113
9 202410
10 202010
11 20257
12 20157
13 20193
14 20243
15 20171
16 20171
17 20181
18 20231
19 20151
20 20201

About Benjamin Dannenmann

Benjamin Dannenmann is a scholar working on Genetics, Molecular Biology, Oncology, Hematology and Physiology, having authored 22 papers that have together received 251 indexed citations. Recurring topics across this work include Blood disorders and treatments (11 papers), Neutropenia and Cancer Infections (8 papers), CRISPR and Genetic Engineering (6 papers), Acute Myeloid Leukemia Research (5 papers), Pluripotent Stem Cells Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Hematology (32 citations), Business and International Management (5 citations), Molecular Biology (131 citations), Immunology (36 citations) and Aging (3 citations). Benjamin Dannenmann has collaborated with scholars based in Germany, Austria and Japan. Frequent co-authors include Klaus Schulze‐Osthoff, Julia Skokowa, Frank Eßmann, Simon Lehle, Oliver C. Rothfuss, Karl Welte, Katharina Holzer, Dominic G. Hildebrand, Yun Xu and Maksim Klimiankou. Their work appears in journals such as Blood, Molecular Therapy, Blood Advances, Experimental Hematology and Stem Cell Research & Therapy.

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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