P Hazarika

1.3k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

P Hazarika is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, P Hazarika has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in P Hazarika's work include S100 Proteins and Annexins (3 papers), Ion channel regulation and function (2 papers) and Glycosylation and Glycoproteins Research (1 paper). P Hazarika is often cited by papers focused on S100 Proteins and Annexins (3 papers), Ion channel regulation and function (2 papers) and Glycosylation and Glycoproteins Research (1 paper). P Hazarika collaborates with scholars based in United States, India and Poland. P Hazarika's co-authors include William Durante, Douglas L. Mann, Tetsuji Yokoyama, Roger D. Rossen, Luis Vaca, John Dedman, Marcia A. Kaetzel, M. A. Kaetzel, Susan L. Hamilton and Mauricio Díaz‐Muñoz and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and International Journal of Biological Macromolecules.

In The Last Decade

P Hazarika

10 papers receiving 1.0k citations

Hit Papers

Cellular basis for the negative inotropic effects of tumo... 1993 2026 2004 2015 1993 100 200 300 400 500

Peers

P Hazarika
Comparison fields: 5 of 83
  • Molecular Biology 592
  • Cardiology and Cardiovascular Medicine 429
  • Immunology 134
  • Pathology and Forensic Medicine 128
  • Physiology 105
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Citations per field, relative to P Hazarika
P Hazarika · 1×
Citations per year, relative to P Hazarika
P Hazarika · 1×

Countries citing papers authored by P Hazarika

Since Specialization
Citations

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

Fields of papers citing papers by P Hazarika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Hazarika

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 3
2 12
3
Expression of a retinoid-inducible tumor suppressor, Tazarotene-inducible gene-3, is decreased in psoriasis and skin cancer.
60
4
Cellular basis for the negative inotropic effects of tumor necrosis factor-alpha in the adult mammalian heart. breakdown →
588
5 40
6 30
7 5
8 125
9 117
10
Immunoreactive alpha transforming growth factor activity in effusions from cancer patients as a marker of tumor burden and patient prognosis.
68

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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2026