Joseph Negri

2.2k citations
47 papers · 1.6k indexed · h-index 21

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Multiple Myeloma Research and Treatments 12
    • Cancer-related Molecular Pathways 4

Joseph Negri

47 papers receiving 1.6k citations

Peers

Joseph Negri
Comparison fields: 5 of 103
  • Hematology 271
  • Oncology 613
  • Cancer Research 219
  • Molecular Biology 933
  • Endocrinology, Diabetes and Metabolism 181
Replace Christopher J. Molloy with:
Christopher J. Molloy United States
Linda S. Mulcahy United States
Fengjuan Fan China
Andreas Gschwind Germany
Azucena Esparís‐Ogando Spain
Juan Carlos Montero Spain
Emmanuel Normant United States
Jeffrey D. Bjorge Canada
Malin Wickström Sweden
Kenna Anderes United States
Joseph Negri relative to Christopher J. Molloy United States Christopher J. Molloy's profile →
Citations per field
00.5×4.2×
Christopher J. Molloy · 1×
Citations per year

Countries citing papers authored by Joseph Negri

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Negri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20227
2 202036
3 20185
4 201760
5 201528
6 20136
7 201315
8 2013365
9 201245
10 201224
11 201124
12 201163
13 201124
14 2010236
15 2009105
16 200926
17 200743
18 20046
19 20043
20 19906

About Joseph Negri

Joseph Negri is a scholar working on Hematology, Oncology, Molecular Biology, Cell Biology and Condensed Matter Physics, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Ubiquitin and proteasome pathways (6 papers), Microtubule and mitosis dynamics (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer Mechanisms and Therapy (4 papers), Cell death mechanisms and regulation (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Hematology (271 citations), Oncology (613 citations), Cancer Research (219 citations), Molecular Biology (933 citations) and Endocrinology, Diabetes and Metabolism (181 citations). Joseph Negri has collaborated with scholars based in United States, Greece and Switzerland. Frequent co-authors include Constantine S. Mitsiades, Douglas W. McMillin, Nicholas Mitsiades, Vassiliki Poulaki, Jake Delmore, Paul G. Richardson, Kenneth C. Anderson, Nikhil C. Munshi, Galinos Fanourakis and Ciaran J. McMullan. Their work appears in journals such as Blood, The Journal of Clinical Endocrinology & Metabolism, Investigative Ophthalmology & Visual Science, PLoS ONE 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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