Suzanne Lentzsch

17.5k citations
227 papers · 7.2k indexed · 2 hit papers · h-index 41
  • Hematology top 0.1%
    • Multiple Myeloma Research and Treatments 156
  • Oncology top 0.5%
    • Peptidase Inhibition and Analysis 35
    • Cancer Treatment and Pharmacology 19
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research 28
    • Amyloidosis: Diagnosis, Treatment, Outcomes 52
    • Protein Degradation and Inhibitors 51
    • Ubiquitin and proteasome pathways 18
  • Immunology top 5%
    • Monoclonal and Polyclonal Antibodies Research 19

Suzanne Lentzsch

209 papers receiving 7.1k citations

Hit Papers

IMWG consensus on risk stratification in mul...4132001202620092017200400600

Peers

Suzanne Lentzsch
Comparison fields: 5 of 109
  • Hematology 4.9k
  • Oncology 3.4k
  • Genetics 920
  • Molecular Biology 4.5k
  • Immunology 830
Replace Jonathan L. Kaufman with:
Jonathan L. Kaufman United States
Bruno Paiva Spain
Henk M. Lokhorst Netherlands
Rubén Niesvizky United States
A. Keith Stewart United States
Torben Plesner Denmark
Robert Schlossman United States
Norma C. Gutiérrez Spain
Peter M. Voorhees United States
Stanley R. Frankel United States
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Citations per field
00.5×1.5×
Jonathan L. Kaufman · 1×
Citations per year

Countries citing papers authored by Suzanne Lentzsch

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Lentzsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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9 202127
10 20215
11 202035
12 201931
13 201811
14 201818
15 201715
16 20174
17 20170
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19 201620
20 201123

About Suzanne Lentzsch

Suzanne Lentzsch is a scholar working on Hematology, Genetics and Oncology, having authored 227 papers that have together received 7.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (156 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (52 papers), Protein Degradation and Inhibitors (51 papers), Peptidase Inhibition and Analysis (35 papers), Chronic Lymphocytic Leukemia Research (28 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Cancer Treatment and Pharmacology (19 papers) and Ubiquitin and proteasome pathways (18 papers). The work is most often cited by research in Hematology (4.9k citations), Oncology (3.4k citations) and Genetics (920 citations). Suzanne Lentzsch has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Markus Y. Mapara, Teru Hideshima, Paul G. Richardson, Kenneth C. Anderson, Faith E. Davies, Klaus Podar, Boris K. Lin, Dharminder Chauhan, Noopur Raje and Brian G.M. Durie.

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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