Julhash U. Kazi

3.0k citations
85 papers · 2.1k indexed · 1 hit paper · h-index 26

Julhash U. Kazi

81 papers receiving 2.1k citations

Hit Papers

T cell receptor (TCR) signaling in health and disease3322021202620222024100200300

Peers

Julhash U. Kazi
Comparison fields: 5 of 115
  • Hematology 540
  • Genetics 295
  • Immunology 443
  • Oncology 514
  • Molecular Biology 1.1k
Replace Dorina Gui with:
Dorina Gui United States
Yiguo Hu United States
Valeria Ossovskaya United States
Rebecca J. Chan United States
Alison M. Michie United Kingdom
Josée Hébert Canada
Sarah R. Walker United States
Christos K. Kontos Greece
Rina Plattner United States
Michiko Niwa‐Kawakita France
Julhash U. Kazi relative to Dorina Gui United States Dorina Gui's profile →
Citations per field
00.5×6.8×
Dorina Gui · 1×
Citations per year

Countries citing papers authored by Julhash U. Kazi

Since Specialization
Citations

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

Fields of papers citing papers by Julhash U. Kazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julhash U. Kazi. 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 Julhash U. Kazi. The network helps show where Julhash U. Kazi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20241
4 20245
5 20241
6 20243
7 20236
8 20238
9 202221
10 201917
11 20183
12 201820
13 201711
14 201515
15 201431
16 201414
17 201348
18 201323
19 20116
20
Celecoxib-induced growth inhibiton in SW480 colon cancer cells is associated with activation of protein kinase G
20071

About Julhash U. Kazi

Julhash U. Kazi is a scholar working on Hematology, Genetics and Oncology, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), PI3K/AKT/mTOR signaling in cancer (14 papers), Chronic Myeloid Leukemia Treatments (14 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Chronic Lymphocytic Leukemia Research (11 papers), Protein Degradation and Inhibitors (10 papers), Acute Lymphoblastic Leukemia research (8 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Hematology (540 citations), Genetics (295 citations) and Immunology (443 citations). Julhash U. Kazi has collaborated with scholars based in Sweden, United States and Bangladesh. Frequent co-authors include Lars Rönnstrand, Kinjal Shah, Jianmin Sun, Nuzhat N. Kabir, Amr Al‐Haidari, Jae‐Won Soh, Amilcar Flores‐Morales, S. M. Riazul Islam, Shruti Agarwal and Hui Zhao. Their work appears in journals such as Oncotarget, Blood, Cellular and Molecular Life Sciences, Oncogene and Molecular 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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