J Ackermann

602 citations
17 papers · 471 · h-index 12

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 12
    • Glycosylation and Glycoproteins Research 3
    • Protein Degradation and Inhibitors 3

J Ackermann

17 papers receiving 444 citations

Peers

J Ackermann
Comparison fields: 5 of 34
  • Hematology 304
  • Genetics 77
  • Oncology 162
  • Pathology and Forensic Medicine 78
  • Molecular Biology 246
Replace Naozo Nakazawa with:
Naozo Nakazawa Japan
Franck Bernardi France
TR Golub United States
N Smadja France
Hendrati Pirc‐Danoewinata Austria
T Kinoshita Japan
L Pegoraro Italy
D. C. van der Plas Netherlands
Patrik Andreasson Sweden
Maged S. Mahmoud Japan
J Ackermann relative to Naozo Nakazawa Japan Naozo Nakazawa's profile →
Citations per field
00.5×2×3×4.3×
Naozo Nakazawa · 1×
Citations per year

Countries citing papers authored by J Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by J Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200696
2 200463
3 200060
4 200343
5
Expression of the lung resistance protein predicts poor outcome in patients with multiple myeloma.
199939
6 199831
7 200129
8 199826
9 200123
10 200114
11 200613
12 200311
13 19999
14 19988
15 20073
16 20032
17 20011

About J Ackermann

J Ackermann is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), Peptidase Inhibition and Analysis (5 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (304 citations), Genetics (77 citations), Oncology (162 citations), Pathology and Forensic Medicine (78 citations) and Molecular Biology (246 citations). J Ackermann has collaborated with scholars based in Austria and Germany. Frequent co-authors include Johannes Drach, H. Kaufmann, Niklas Zojer, Heinz Ludwig, Christoph Zielinski, Verena Sagaster, Heinz Gisslinger, Rotraud Wieser, H. Huber and Ulrich Jäger. Their work appears in journals such as Annals of Hematology, Leukemia, British Journal of Cancer, Annals of Oncology and European Journal of Clinical Investigation.

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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