Jörg D. Hoheisel

19.6k citations
238 papers · 11.7k indexed · 1 hit paper · h-index 52

Jörg D. Hoheisel

235 papers receiving 11.4k citations

Hit Papers

Life with 6000 Genes3.0k199620262006201650010001.5k2.0k2.5k

Peers

Jörg D. Hoheisel
Comparison fields: 5 of 175
  • Molecular Biology 8.7k
  • Cancer Research 1.2k
  • Aging 97
  • Cell Biology 669
  • Genetics 1.1k
Replace Juan Antonio Vizcaíno with:
Juan Antonio Vizcaíno United Kingdom
Bernhard Küster Germany
Jacek R. Wiśniewski Germany
Marc R. Wilkins Australia
Jimmy K. Eng United States
Heng Zhu United States
Yasushi Ishihama Japan
Robert L. Moritz United States
Nicolas Guex Switzerland
Yasset Pérez‐Riverol United Kingdom
Jörg D. Hoheisel relative to Juan Antonio Vizcaíno United Kingdom Juan Antonio Vizcaíno's profile →
Citations per field
00.5×1.5×
Juan Antonio Vizcaíno · 1×
Citations per year

Countries citing papers authored by Jörg D. Hoheisel

Since Specialization
Citations

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

Fields of papers citing papers by Jörg D. Hoheisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörg D. Hoheisel. 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 Jörg D. Hoheisel. The network helps show where Jörg D. Hoheisel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20242
4 20237
5 202318
6 20223
7 20211
8 201818
9 201667
10 201119
11 2010232
12 2008136
13 20043
14 20032
15
Production by quantitative photolithographic synthesis of individually quality checked DNA microarrays
20004
16 2000118
17 199924
18 19972
19 19958
20 199362

About Jörg D. Hoheisel

Jörg D. Hoheisel is a scholar working on Molecular Biology, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Horticulture, having authored 238 papers that have together received 11.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (38 papers), Advanced Biosensing Techniques and Applications (30 papers), Monoclonal and Polyclonal Antibodies Research (29 papers), Gene expression and cancer classification (29 papers), Pancreatic and Hepatic Oncology Research (27 papers), Epigenetics and DNA Methylation (23 papers), RNA modifications and cancer (20 papers) and RNA and protein synthesis mechanisms (18 papers). The work is most often cited by research in Molecular Biology (8.7k citations), Cancer Research (1.2k citations), Aging (97 citations), Cell Biology (669 citations) and Genetics (1.1k citations). Jörg D. Hoheisel has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Wlad Kusnezow, Hans‐Werner Mewes, Yasufumi Murakami, Edward J. Louis, Ronald W. Davis, B. G. Barrell, Claude Jacq, Mark Johnston, Stephen G. Oliver and Howard Bussey. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Journal of Biological Chemistry, PROTEOMICS and BMC Genomics.

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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