Shiva Ganjali

1.8k citations
38 papers · 1.3k indexed · h-index 15
Topics
Lipoproteins and Cardiovascular Health (14 papers)Cancer, Lipids, and Metabolism (8 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)
Journals
SHILAP Revista de lepidopterologíaEuropean Heart JournalNutrients
Partner nations
IranPolandAustralia

In The Last Decade

Shiva Ganjali

35 papers receiving 1.3k citations

Peers

Shiva Ganjali
Comparison fields: 5 of 95
  • Molecular Medicine 403
  • Molecular Biology 316
  • Surgery 240
  • Epidemiology 209
  • Endocrinology, Diabetes and Metabolism 205
Replace Santosh Kumar with:
Santosh Kumar India
Suthee Rattanamongkolgul Thailand
Vijayakumar Sukumaran Japan
Henricus A. M. Mutsaers Netherlands
Seyed Mohammad Reza Parizadeh Iran
Shuang Chen China
Shahriar Alipour Iran
Ju‐Li Lin China
Mohamed A. Haidara Saudi Arabia
Shiva Ganjali relative to Santosh Kumar India Santosh Kumar's profile →
Citations per field
00.5×3.7×
Santosh Kumar · 1×
Citations per year

Countries citing papers authored by Shiva Ganjali

Since Specialization
Citations

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

Fields of papers citing papers by Shiva Ganjali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiva Ganjali

This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Ganjali. A scholar is included among the top collaborators of Shiva Ganjali 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 Shiva Ganjali. Shiva Ganjali 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 1
2 0
3 4
4 1
5 2
6 3
7 1
8 7
9 9
10 9
11 38
12 21
13 34
14 9
15 56
16 153
17 48
18 20
19 159
20 171

About Shiva Ganjali

Shiva Ganjali is a scholar working on Molecular Medicine, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (14 papers), Cancer, Lipids, and Metabolism (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Molecular Medicine (403 citations), Biological Psychiatry (35 citations) and Endocrinology, Diabetes and Metabolism (205 citations). Shiva Ganjali has collaborated with scholars based in Iran, Poland and Australia. Frequent co-authors include Amirhossein Sahebkar, Maciej Banach, Matteo Pirro, Alexandra E. Butler, Gordon A. Ferns, Majid Ghayour‐Mobarhan, Muhammed Majeed, Stephen L. Atkin, Antonio M. Gotto and Massimiliano Ruscica. Their work appears in journals such as SHILAP Revista de lepidopterología, European Heart Journal and Nutrients.

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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