Muntaha Samad

1.7k citations
17 papers · 863 · h-index 12

Impact in

Papers in

Muntaha Samad

17 papers receiving 856 citations

Peers

Muntaha Samad
Comparison fields: 5 of 117
  • Endocrine and Autonomic Systems 361
  • Aging 90
  • Health Informatics 18
  • Physiology 312
  • Biophysics 69
Replace I. М. Kvetnoy with:
I. М. Kvetnoy Russia
Bruno Chausse Brazil
Nicholas J. Hunt Australia
Julia Cruces Spain
Ikuko Sato Japan
Angeliki Karamitri France
Akiko Hirao Japan
Yunho Jin South Korea
Hiroko Nakahara Japan
Lewis Taylor United Kingdom
Muntaha Samad relative to I. М. Kvetnoy Russia I. М. Kvetnoy's profile →
Citations per field
00.5×5.2×
I. М. Kvetnoy · 1×
Citations per year

Countries citing papers authored by Muntaha Samad

Since Specialization
Citations

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

Fields of papers citing papers by Muntaha Samad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019227
2 2019198
3 2020115
4 202054
5 202138
6 202235
7 202034
8 202033
9 202232
10 202023
11 202323
12 202320
13 202211
14 202011
15
Effect of supplementing diet with chromium picolinate on productive, reproductive, physiological performance and immune response of golden Montazah chickens.
20134
16 20124
17 20201

About Muntaha Samad

Muntaha Samad is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 17 papers that have together received 863 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (8 papers), Adipose Tissue and Metabolism (3 papers), Light effects on plants (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Neural dynamics and brain function (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (361 citations), Aging (90 citations), Health Informatics (18 citations), Physiology (312 citations) and Biophysics (69 citations). Muntaha Samad has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Pierre Baldi, Paolo Sassone‐Corsi, Siwei Chen, Kenichiro Kinouchi, Kevin B. Koronowski, Wei Li, Jiejun Shi, Chr̀istophe Magnan, Shogo Sato and Juleen R. Zierath. Their work appears in journals such as EMBO Reports, Cell Reports, Cell, Nucleic Acids Research and Translational Psychiatry.

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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