Greg Ahmann

2.2k citations
18 papers · 541 · h-index 9

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 16
    • Protein Degradation and Inhibitors 11
    • Glycosylation and Glycoproteins Research 2
    • Ubiquitin and proteasome pathways 2

Greg Ahmann

17 papers receiving 533 citations

Peers

Greg Ahmann
Comparison fields: 5 of 49
  • Hematology 410
  • Oncology 179
  • Molecular Biology 435
  • Genetics 35
  • Cancer Research 48
Replace Jessica Haug with:
Jessica Haug United States
Madhumita Santra United States
R.K.M. Protheroe United Kingdom
J Ackermann Austria
Santiago Barrio Spain
Naozo Nakazawa Japan
Donata Verdelli Italy
Divyamani Srinivasan United States
Ana Gabrea United States
Young Trieu Canada
Greg Ahmann relative to Jessica Haug United States Jessica Haug's profile →
Citations per field
00.5×3.8×
Jessica Haug · 1×
Citations per year

Countries citing papers authored by Greg Ahmann

Since Specialization
Citations

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

Fields of papers citing papers by Greg Ahmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007195
2 201385
3 200576
4 201536
5 201835
6 201631
7 201124
8 201123
9 200520
10 19985
11 20253
12 20083
13 20161
14 20151
15 20191
16 20071
17 20221
18 20250

About Greg Ahmann

Greg Ahmann is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 541 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (11 papers), Cancer Treatment and Pharmacology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Hematology (410 citations), Oncology (179 citations), Molecular Biology (435 citations), Genetics (35 citations) and Cancer Research (48 citations). Greg Ahmann has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Rafaël Fonseca, S. Vincent Rajkumar, Shaji Kumar, Philip R. Greipp, Martha Q. Lacy, Wee Joo Chng, Morie A. Gertz, Angela Dispenzieri, Robert A. Kyle and Tammy Price-Troska. Their work appears in journals such as Blood, Blood Cancer Journal, Leukemia Research, Annals of Hematology and British Journal of Haematology.

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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