Dirk Grimm

14.2k citations
150 papers · 9.6k indexed · 3 hit papers · h-index 49

Dirk Grimm

142 papers receiving 9.4k citations

Hit Papers

In Vitro and In Vivo Gene Therapy Vector Evolution via M...53719982026200720164008001.2k

Peers

Dirk Grimm
Comparison fields: 5 of 143
  • Genetics 4.2k
  • Molecular Biology 7.0k
  • Business and International Management 136
  • Cancer Research 1.0k
  • Hepatology 535
Replace Wei Wu with:
Wei Wu China
Bon‐Kyoung Koo South Korea
Nathan D. Lawson United States
Linzhao Cheng United States
Randall S. Prather United States
David A. Largaespada United States
Jean‐Paul Concordet France
Jason Wright United States
Isao Oishi Japan
Perry B. Hackett United States
Dirk Grimm relative to Wei Wu China Wei Wu's profile →
Citations per field
00.5×3.7×
Wei Wu · 1×
Citations per year

Countries citing papers authored by Dirk Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20236
5 202314
6 202312
7 20237
8 202325
9 202210
10 20217
11 2020168
12 202015
13 202033
14 201985
15 2018158
16 201841
17 2017197
18 201531
19
In Vitro and In Vivo Gene Therapy Vector Evolution via Multispecies Interbreeding and Retargeting of Adeno-Associated Virusesbreakdown →
2008537
20
Retinal light damage vs. normal aging of rats: altered morphology, intermediate filament expression, and nuclear organization of Müller (glial) cells.
199729

About Dirk Grimm

Dirk Grimm is a scholar working on Genetics, Molecular Biology and Hepatology, having authored 150 papers that have together received 9.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (82 papers), RNA Interference and Gene Delivery (55 papers), CRISPR and Genetic Engineering (50 papers), Viral Infectious Diseases and Gene Expression in Insects (21 papers), Viral gastroenteritis research and epidemiology (19 papers), Advanced biosensing and bioanalysis techniques (13 papers), Viral Infections and Immunology Research (13 papers) and CAR-T cell therapy research (11 papers). The work is most often cited by research in Genetics (4.2k citations), Molecular Biology (7.0k citations) and Business and International Management (136 citations). Dirk Grimm has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Mark A. Kay, Theresa A. Storm, Jürgen A. Kleinschmidt, Kusum Pandey, Corrine R. Davis, Karola Rittner, Andrea Kern, Catherine L. Jopling, Konrad L. Streetz and Patricia L. Marion. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, Molecular Therapy — Methods & Clinical Development, Journal of Virology and Nature Communications.

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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