A K Hajra

3.4k citations
49 papers · 2.6k indexed · 1 hit paper · h-index 27
Topics
Metabolism and Genetic Disorders (16 papers)Peroxisome Proliferator-Activated Receptors (14 papers)Lipid metabolism and biosynthesis (14 papers)

In The Last Decade

A K Hajra

48 papers receiving 2.5k citations

Hit Papers

Fusion Between Transcription Factor CBFβ/PEBP2β and a Myo...19932026200420151993100200300400500

Peers

A K Hajra
Comparison fields: 5 of 98
  • Molecular Biology 1.8k
  • Hematology 668
  • Biochemistry 570
  • Clinical Biochemistry 425
  • Physiology 264
Replace Louis Douste‐Blazy with:
Louis Douste‐Blazy France
Yoshihiro Deyashiki Japan
Norman E. Sládek United States
A. Roscher Germany
Susan Rittenhouse-Simmons United States
Y Fujii-Kuriyama Japan
Ernst Conzelmann Germany
Ten‐ching Lee United States
Giuliana Leoncini Italy
Veronica Fitzgerald United States
A K Hajra relative to Louis Douste‐Blazy France Louis Douste‐Blazy's profile →
Citations per field
00.5×1.5×2.5×
Louis Douste‐Blazy · 1×
Citations per year

Countries citing papers authored by A K Hajra

Since Specialization
Citations

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

Fields of papers citing papers by A K Hajra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A K Hajra. 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 A K Hajra. The network helps show where A K Hajra may publish in the future.

Co-authorship network of co-authors of A K Hajra

This figure shows the co-authorship network connecting the top 25 collaborators of A K Hajra. A scholar is included among the top collaborators of A K Hajra 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 A K Hajra. A K Hajra 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
Chemical Constituents of Plumbago indica roots and reactions of plumbagin: Part II
12
2 2
3 8
4 4
5 50
6 64
7 170
8 8
9 37
10
A Fusion Between Transcription Factor Cbf-Beta-Pebp2-Beta and a Myosin Heavy-Chain Is Generated by the Chromosome-16 Inversion in Acute Myelomonocytic Leukemia M4eo
0
11 36
12 3
13 10
14 21
15 39
16 59
17 17
18 52
19 35
20 115

About A K Hajra

A K Hajra is a scholar working on Clinical Biochemistry, Biochemistry and Toxicology, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (16 papers), Peroxisome Proliferator-Activated Receptors (14 papers) and Lipid metabolism and biosynthesis (14 papers). The work is most often cited by research in Biochemistry (570 citations), Clinical Biochemistry (425 citations) and Hematology (668 citations). A K Hajra has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Bernard W. Agranoff, Christopher L. Jones, Matthew L. Freedman, Susan A. Tarlé, Francis S. Collins, David F. Claxton, Paula Marlton, Michael J. Siciliano, Pu Liu and Arun K. Das. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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