Karin Jöhrer

2.0k citations
43 papers · 1.6k · h-index 20

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Multiple Myeloma Research and Treatments 10
    • Immunotherapy and Immune Responses 5

Karin Jöhrer

43 papers receiving 1.6k citations

Peers

Karin Jöhrer
Comparison fields: 5 of 103
  • Hematology 360
  • Immunology 362
  • Oncology 440
  • Biochemistry 73
  • Genetics 124
Replace Geoffrey M. Matthews with:
Geoffrey M. Matthews Australia
Armel Hervé Nwabo Kamdje Cameroon
Rosaria Arcone Italy
Xianping Lu China
Ajita Singh United States
Sherif Abdelhamed United States
Stéphane Barrette Canada
Fujun Li China
Senthilnathan Palaniyandi United States
Hyun‐Mee Oh South Korea
Karin Jöhrer relative to Geoffrey M. Matthews Australia Geoffrey M. Matthews's profile →
Citations per field
00.5×2×4×5.2×
Geoffrey M. Matthews · 1×
Citations per year

Countries citing papers authored by Karin Jöhrer

Since Specialization
Citations

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

Fields of papers citing papers by Karin Jöhrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016256
2 2005219
3 1997111
4 1996109
5 200594
6 202086
7 200472
8 201454
9 201842
10 200240
11 199538
12 201137
13 200835
14 200834
15 199033
16 200632
17 201529
18 201021
19 200321
20 202120

About Karin Jöhrer

Karin Jöhrer is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Cancer Research, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Chemokine receptors and signaling (7 papers), Natural product bioactivities and synthesis (6 papers), Immunotherapy and Immune Responses (5 papers), Protein Degradation and Inhibitors (4 papers), Sesquiterpenes and Asteraceae Studies (3 papers), Phytochemical compounds biological activities (3 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Hematology (360 citations), Immunology (362 citations), Oncology (440 citations), Biochemistry (73 citations) and Genetics (124 citations). Karin Jöhrer has collaborated with scholars based in Austria, Germany and Czechia. Frequent co-authors include Richard Greil, Claudia Christine Zelle-Rieser, Christian Zidorn, Shanmugapriya Thangavadivel, Andrea Brunner, Ella Willenbacher, R. Biedermann, Patrizia Stoitzner, Ernst P. Ellmerer and Markus Ganzera. Their work appears in journals such as Oncotarget, Expert Opinion on Biological Therapy, Molecules, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular 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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