Ijaz S. Jamall

2.0k citations
48 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
Trace Elements in Health (13 papers)Heavy Metal Exposure and Toxicity (12 papers)Selenium in Biological Systems (11 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical BiochemistryBiochemical Journal

In The Last Decade

Ijaz S. Jamall

48 papers receiving 1.6k citations

Hit Papers

A simple method to determine nanogram levels of 4-hydroxy...19812026199620111981100200300400

Peers

Ijaz S. Jamall
Comparison fields: 5 of 140
  • Molecular Biology 484
  • Health, Toxicology and Mutagenesis 334
  • Nutrition and Dietetics 293
  • Oncology 222
  • Epidemiology 197
Replace Ikuyo Tsukamoto with:
Ikuyo Tsukamoto Japan
Levan Muskhelishvili United States
Ping Luo China
Hadi Parsian Iran
Li‐Yu Tsai Taiwan
Ting Chen China
Chwen-Ming Shih Taiwan
Takayoshi Imazawa Japan
Jin Seok Kang South Korea
Luis E. Gómez-Quiroz Mexico
Ijaz S. Jamall relative to Ikuyo Tsukamoto Japan Ikuyo Tsukamoto's profile →
Citations per field
00.5×5.6×
Ikuyo Tsukamoto · 1×
Citations per year

Countries citing papers authored by Ijaz S. Jamall

Since Specialization
Citations

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

Fields of papers citing papers by Ijaz S. Jamall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ijaz S. Jamall. 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 Ijaz S. Jamall. The network helps show where Ijaz S. Jamall may publish in the future.

Co-authorship network of co-authors of Ijaz S. Jamall

This figure shows the co-authorship network connecting the top 25 collaborators of Ijaz S. Jamall. A scholar is included among the top collaborators of Ijaz S. Jamall 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 Ijaz S. Jamall. Ijaz S. Jamall 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 8
3 12
4 14
5 59
6 83
7 6
8 10
9 1
10 5
11 1
12 8
13 60
14 8
15 19
16 38
17 23
18 10
19 13
20
A simple method to determine nanogram levels of 4-hydroxyproline in biological tissuesbreakdown →
480

About Ijaz S. Jamall

Ijaz S. Jamall is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Cancer Research, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Trace Elements in Health (13 papers), Heavy Metal Exposure and Toxicity (12 papers) and Selenium in Biological Systems (11 papers). The work is most often cited by research in Hepatology (194 citations), Health, Toxicology and Mutagenesis (334 citations) and Nutrition and Dietetics (293 citations). Ijaz S. Jamall has collaborated with scholars based in United States, Germany and Pakistan. Frequent co-authors include Björn L.D.M. Brücher, Shane S. Que Hee, Vincent N. Finelli, John C. Smith, Thomas W. Simmons, Louis D. Trombetta, Richard A. Lockshin, L. Kromidas, Brian Davis and Calvin C. Willhite. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Biochemical Journal.

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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