Deeksha Pal

40 papers receiving 1.3k citations

Deeksha Pal's Hit Papers

Alkaline Phosphatase: An Overview 2013 · 701 citations
7010+4+8Years since publication200400600

Peers

Deeksha Pal
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 138
  • Complementary and alternative medicine 64
  • Nephrology 51
  • Automotive Engineering 88
  • Molecular Biology 410
Replace Yazhen Li with:
Yazhen Li China
Meenakshi Arora United States
Shuang Liu China
Bochu Wang China
Fen Li China
Lixuan Wang China
Habiba Alsafar United Arab Emirates
Yaqin Chen China
Xuewen Xu China
Yili Wang China
Deeksha Pal relative to Yazhen Li China Yazhen Li's profile →
Citations per field
00.5×2.6×
Yazhen Li · 1×
Citations per year

Countries citing papers authored by Deeksha Pal

Since Specialization
Citations

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

Fields of papers citing papers by Deeksha Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Alkaline Phosphatase: An Overview
Hit paper breakdown →
2013701
2 201493
3 200566
4 201545
5 201644
6 201743
7 201838
8 201837
9 201637
10 201633
11 201732
12 201429
13 201328
14 201418
15 201217
16 202214
17 201514
18 201411
19 20239
20 20169

About Deeksha Pal

Deeksha Pal is a scholar working on Molecular Biology, Nephrology, Physiology, Pulmonary and Respiratory Medicine and Complementary and alternative medicine, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (7 papers), Telomeres, Telomerase, and Senescence (5 papers), Phytochemicals and Medicinal Plants (5 papers), Vasculitis and related conditions (4 papers), Alkaline Phosphatase Research Studies (4 papers), Renal and related cancers (3 papers), Advanced Welding Techniques Analysis (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (138 citations), Complementary and alternative medicine (64 citations), Nephrology (51 citations), Automotive Engineering (88 citations) and Molecular Biology (410 citations). Deeksha Pal has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Ujjawal Sharma, Rajendra Prasad, Brent Stucker, Chendil Damodaran, Murali K. Ankem, Shrawan Kumar Singh, Venkatesh Kolluru, Rajendra Prasad, Rajeev Kapoor and J.K. Chakravartty. Their work appears in journals such as Cancer Research, Gene, Biochimie, Kidney International Reports and Cancer Letters.

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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