Khursheed Alam

151 papers receiving 2.5k citations

Peers

Khursheed Alam
Comparison fields: 5 of 161
  • Clinical Biochemistry 876
  • Endocrinology, Diabetes and Metabolism 544
  • Complementary and alternative medicine 218
  • Statistics and Probability 190
  • Toxicology 73
Replace Surendra K. Bansal with:
Surendra K. Bansal United States
Habtom W. Ressom United States
Jian Shi China
Paulo Matafome Portugal
Karthik Venkatakrishnan United States
Volker Fischer United States
Laura I. Furlong Spain
Qing Zhang China
Kan Chen China
Christopher Patten United States
Khursheed Alam relative to Surendra K. Bansal United States Surendra K. Bansal's profile →
Citations per field
00.5×5×10×15×18.3×
Surendra K. Bansal · 1×
Citations per year

Countries citing papers authored by Khursheed Alam

Since Specialization
Citations

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

Fields of papers citing papers by Khursheed Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999177
2 2011114
3 199980
4 200962
5 199958
6 201556
7 201555
8 201354
9 200551
10 201451
11 201751
12 201250
13 200750
14 201247
15 200346
16 201544
17 201441
18 201640
19 199339
20 196638

About Khursheed Alam

Khursheed Alam is a scholar working on Clinical Biochemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Immunology, having authored 156 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (37 papers), Natural Antidiabetic Agents Studies (18 papers), Protein Interaction Studies and Fluorescence Analysis (15 papers), Alcohol Consumption and Health Effects (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Biochemical effects in animals (8 papers), Nitric Oxide and Endothelin Effects (8 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers). The work is most often cited by research in Clinical Biochemistry (876 citations), Endocrinology, Diabetes and Metabolism (544 citations), Complementary and alternative medicine (218 citations), Statistics and Probability (190 citations) and Toxicology (73 citations). Khursheed Alam has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Moinuddin Moinuddin, Asif Ali, Kiran Dixit, Zarina Arif, Saheem Ahmad, Jamal Ahmad, Abdullah M. Al‐Bekairi, Mahmoud N. Nagi, Othman A. Al‐Shabanah and Uzma Shahab. Their work appears in journals such as International Journal of Biological Macromolecules, PLoS ONE, Annals of the Institute of Statistical Mathematics, Archives of Biochemistry and Biophysics and IUBMB Life.

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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