Javid A. Dar

610 citations
26 papers · 495 · h-index 15

Impact in

Papers in

Javid A. Dar

25 papers receiving 476 citations

Peers

Javid A. Dar
Comparison fields: 5 of 81
  • Clinical Biochemistry 38
  • Cancer Research 68
  • Molecular Biology 310
  • Pulmonary and Respiratory Medicine 145
  • Complementary and alternative medicine 26
Replace Yuanbiao Guo with:
Yuanbiao Guo China
Wenfeng Li China
Seok-Il Hong South Korea
Hae‐Young Yong South Korea
Hao Meng China
Chang Shao China
Tülin Özkan Türkiye
Zongyin Qiu China
Ying-Ming Tsai Taiwan
Sandra K. Wittmann Germany
Javid A. Dar relative to Yuanbiao Guo China Yuanbiao Guo's profile →
Citations per field
00.5×4.3×
Yuanbiao Guo · 1×
Citations per year

Countries citing papers authored by Javid A. Dar

Since Specialization
Citations

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

Fields of papers citing papers by Javid A. Dar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009101
2 200660
3 201230
4 201225
5 201624
6 201324
7 201721
8
Combined impact of polymorphism of folate metabolism genes; glutamate carboxypeptidase, methylene tetrahydrofolate reductase and methionine synthase reductase on breast cancer susceptibility in kashmiri women.
200820
9 201418
10 201717
11 201516
12 201115
13 201515
14 201514
15 201314
16 201514
17 201213
18 201411
19 201310
20 201610

About Javid A. Dar

Javid A. Dar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Infectious Diseases, having authored 26 papers that have together received 495 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Natural product bioactivities and synthesis (4 papers), Estrogen and related hormone effects (4 papers), Nuclear Structure and Function (3 papers), Cancer, Lipids, and Metabolism (3 papers), Hormonal and reproductive studies (3 papers), Immune Cell Function and Interaction (3 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Clinical Biochemistry (38 citations), Cancer Research (68 citations), Molecular Biology (310 citations), Pulmonary and Respiratory Medicine (145 citations) and Complementary and alternative medicine (26 citations). Javid A. Dar has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include Junkui Ai, Joel B. Nelson, Zhou Wang, Yujuan Wang, Khalid Z. Masoodi, Zhou Wang, June Liu, Mudasir A. Tantry, A. S. Shawl and Kurtis Eisermann. Their work appears in journals such as Endocrinology, Fitoterapia, Molecular Endocrinology, The Journal of Steroid Biochemistry and Molecular Biology and PLoS ONE.

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.

Explore authors with similar magnitude of impact