M.L. Latif

748 citations
20 papers · 622 · h-index 10

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Pain Mechanisms and Treatments
    • Cannabis and Cannabinoid Research

Papers in

    • Receptor Mechanisms and Signaling 3
    • Adenosine and Purinergic Signaling 4
    • Nitric Oxide and Endothelin Effects 2

M.L. Latif

19 papers receiving 608 citations

Peers

M.L. Latif
Comparison fields: 5 of 92
  • Physiology 79
  • Pharmacology 284
  • Toxicology 41
  • Biological Psychiatry 27
  • Behavioral Neuroscience 38
Replace Letizia Antonilli with:
Letizia Antonilli Italy
Alison Ribeiro Brazil
Harshini Neelakantan United States
Rafael Rivas‐Santisteban Spain
Cataldo Martucci Italy
Claire Lafay‐Chebassier France
Gohar Fakhfouri Iran
Arash Bahremand Iran
Çetin Hakan Karadağ Türkiye
Leandro Bueno Bergantin Brazil
M.L. Latif relative to Letizia Antonilli Italy Letizia Antonilli's profile →
Citations per field
00.5×3.0×
Letizia Antonilli · 1×
Citations per year

Countries citing papers authored by M.L. Latif

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Latif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Latif. 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 M.L. Latif. The network helps show where M.L. Latif may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2008250
2 201595
3 200551
4 199840
5 200031
6 200727
7 201323
8 200823
9 201719
10 201312
11 20159
12 20149
13 20097
14 20167
15 20177
16 20146
17 20053
18 20142
19 20081
20 20250

About M.L. Latif

M.L. Latif is a scholar working on Molecular Biology, Physiology, Physiology, Surgery and Pharmacology, having authored 20 papers that have together received 622 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Tryptophan and brain disorders (2 papers), Cannabis and Cannabinoid Research (2 papers), Immune Cell Function and Interaction (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Physiology (79 citations), Pharmacology (284 citations), Toxicology (41 citations), Biological Psychiatry (27 citations) and Behavioral Neuroscience (38 citations). M.L. Latif has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Victoria Chapman, Alison J. Reeve, Michael J. Garle, Brigitte E. Scammell, Denise Richardson, David A. Kendall, Nisha Kurian, Richard G. Pearson, David A. Barrett and Stephen J. Hill. Their work appears in journals such as Reproductive Toxicology, British Journal of Pharmacology, Thrombosis and Haemostasis, Acta Physiologica and Biochemical Pharmacology.

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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