Jonathan L. Kaufman

17.1k citations
323 papers · 7.9k indexed · 2 hit papers · h-index 45
Topics
Multiple Myeloma Research and Treatments (244 papers)Protein Degradation and Inhibitors (105 papers)Cancer Treatment and Pharmacology (46 papers)

In The Last Decade

Jonathan L. Kaufman

303 papers receiving 7.7k citations

Hit Papers

Tyrosine Phosphorylation Inhibits PKM2 to Promote the War...200920262014202020092009200400600

Peers

Jonathan L. Kaufman
Comparison fields: 5 of 113
  • Hematology 5.2k
  • Molecular Biology 5.0k
  • Oncology 3.6k
  • Genetics 964
  • Immunology 944
Replace Suzanne Lentzsch with:
Suzanne Lentzsch United States
A. Keith Stewart United States
Robert Schlossman United States
Bruno Paiva Spain
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Henk M. Lokhorst Netherlands
Aldo M. Roccaro United States
Peter M. Voorhees United States
Norma C. Gutiérrez Spain
Junya Kuroda Japan
Jonathan L. Kaufman relative to Suzanne Lentzsch United States Suzanne Lentzsch's profile →
Citations per field
00.5×3.3×
Suzanne Lentzsch · 1×
Citations per year

Countries citing papers authored by Jonathan L. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan L. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan L. Kaufman. 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 Jonathan L. Kaufman. The network helps show where Jonathan L. Kaufman may publish in the future.

Co-authorship network of co-authors of Jonathan L. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan L. Kaufman. A scholar is included among the top collaborators of Jonathan L. Kaufman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan L. Kaufman. Jonathan L. Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 0
7 3
8 7
9
Preferences and Priorities for Relapsed Multiple Myeloma Treatments Among Patients and Caregivers in the United States
9
10 14
11 132
12 5
13 39
14 16
15 117
16 34
17 0
18 12
19 119
20 1

About Jonathan L. Kaufman

Jonathan L. Kaufman is a scholar working on Hematology, Oncology and Genetics, having authored 323 papers that have together received 7.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (244 papers), Protein Degradation and Inhibitors (105 papers) and Cancer Treatment and Pharmacology (46 papers). The work is most often cited by research in Hematology (5.2k citations), Oncology (3.6k citations) and Genetics (964 citations). Jonathan L. Kaufman has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Sagar Lonial, Lawrence Boise, Ajay K. Nooka, Vikas A. Gupta, Edward A. Stadtmauer, Madhav V. Dhodapkar, Paul G. Richardson, Craig C. Hofmeister, Nisha S. Joseph and Ravi Vij. Their work appears in journals such as Nature Communications, Neuron and Journal of Clinical Oncology.

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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