Julian Adams

246 total papers · 34.0k total citations
168 papers, 21.4k citations indexed

About

Julian Adams is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Julian Adams has authored 168 papers receiving a total of 21.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Molecular Biology, 39 papers in Oncology and 34 papers in Genetics. Recurrent topics in Julian Adams's work include Ubiquitin and proteasome pathways (48 papers), Evolution and Genetic Dynamics (23 papers) and Peptidase Inhibition and Analysis (20 papers). Julian Adams is often cited by papers focused on Ubiquitin and proteasome pathways (48 papers), Evolution and Genetic Dynamics (23 papers) and Peptidase Inhibition and Analysis (20 papers). Julian Adams collaborates with scholars based in United States, Canada and Australia. Julian Adams's co-authors include Peter J. Elliott, Vito J. Palombella, Michael Kauffman, Paul G. Richardson, Christine Pien, Teru Hideshima, Charlotte E. Paquin, D Chauhan, K C Anderson and Edward A. Sausville and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Julian Adams

168 papers receiving 20.6k citations

Hit Papers

The proteasome inhibitor ... 1990 2026 2002 2014 2001 1999 2004 2002 1990 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. The proteasome inhibitor PS-341 inhibits growth, induces apoptosis, and overcomes drug resistance in human multiple myeloma cells.
    2001 1.2k citations Teru Hideshima, Paul G. Richardson et al. PubMed profile →
  2. Proteasome inhibitors: a novel class of potent and effective antitumor agents.
    1999 1.2k citations Julian Adams, Vito J. Palombella et al. PubMed profile →
  3. The proteasome: a suitable antineoplastic target
    2004 994 citations Julian Adams Nature reviews. Cancer profile →
  4. NF-κB as a Therapeutic Target in Multiple Myeloma
    2002 752 citations Teru Hideshima, Dharminder Chauhan et al. Journal of Biological Chemistry profile →
  5. Inhibition of HIV-1 Replication by a Nonnucleoside Reverse Transcriptase Inhibitor
    1990 653 citations Vincent J. Merluzzi, Karl D. Hargrave et al. Science profile →
  6. The development of proteasome inhibitors as anticancer drugs
    2004 644 citations Julian Adams Cancer Cell profile →
  7. Phase I Trial of the Proteasome Inhibitor PS-341 in Patients With Refractory Hematologic Malignancies
    2002 586 citations Robert Z. Orlowski, Thomas E. Stinchcombe et al. Journal of Clinical Oncology profile →
  8. A phase 2 study of two doses of bortezomib in relapsed or refractory myeloma
    2004 571 citations Sundar Jagannath, Bart Barlogie et al. British Journal of Haematology profile →
  9. Potent and selective inhibitors of the proteasome: Dipeptidyl boronic acids
    1998 542 citations Julian Adams, Mark L. Behnke et al. Bioorganic & Medicinal Chemistry Letters profile →
  10. Development of the Proteasome Inhibitor Velcade™ (Bortezomib)
    2004 536 citations Julian Adams, Michael Kauffman Cancer Investigation profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Julian Adams 14.2k 6.2k 4.8k 2.4k 2.3k 168 21.4k
Edward A. Sausville 19.3k 1.4× 11.7k 1.9× 2.1k 0.4× 3.4k 1.4× 1.5k 0.6× 329 30.9k
Kapil N. Bhalla 17.3k 1.2× 5.9k 1.0× 6.5k 1.4× 2.2k 0.9× 939 0.4× 378 25.9k
Ricky W. Johnstone 18.7k 1.3× 7.8k 1.3× 2.0k 0.4× 2.2k 0.9× 1.3k 0.6× 247 25.4k
Paul A. Marks 17.8k 1.3× 4.6k 0.7× 2.2k 0.5× 1.0k 0.4× 1.5k 0.7× 202 22.6k
Andrew L. Kung 16.6k 1.2× 6.6k 1.1× 4.1k 0.9× 4.6k 1.9× 1.4k 0.6× 284 24.1k
Scott H. Kaufmann 25.8k 1.8× 11.9k 1.9× 3.2k 0.7× 3.7k 1.5× 1.6k 0.7× 405 36.1k
Giulio Superti‐Furga 13.4k 0.9× 2.9k 0.5× 3.1k 0.7× 1.6k 0.7× 1.1k 0.5× 247 21.5k
Charles Dumontet 8.8k 0.6× 8.3k 1.3× 1.8k 0.4× 1.9k 0.8× 633 0.3× 376 20.1k
Craig M. Crews 27.4k 1.9× 11.1k 1.8× 5.5k 1.2× 1.5k 0.6× 1.2k 0.5× 207 31.6k
Leo Sachs 12.6k 0.9× 5.9k 1.0× 4.4k 0.9× 2.7k 1.1× 3.2k 1.4× 397 22.5k

Countries citing papers authored by Julian Adams

Since Specialization
Citations

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

Fields of papers citing papers by Julian Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Adams. A scholar is included among the top collaborators of Julian Adams 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 Julian Adams. Julian Adams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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