Muhammad Akram

57 total papers · 473 total citations
28 papers, 324 citations indexed

About

Muhammad Akram is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Molecular Biology. According to data from OpenAlex, Muhammad Akram has authored 28 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Pharmacology and 5 papers in Molecular Biology. Recurrent topics in Muhammad Akram's work include Pharmacogenetics and Drug Metabolism (6 papers), Hormonal Regulation and Hypertension (5 papers) and Ethnobotanical and Medicinal Plants Studies (3 papers). Muhammad Akram is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Hormonal Regulation and Hypertension (5 papers) and Ethnobotanical and Medicinal Plants Studies (3 papers). Muhammad Akram collaborates with scholars based in Pakistan, Austria and Switzerland. Muhammad Akram's co-authors include Daniela Schuster, Alex Odermatt, Katharina R. Beck, Teresa Kaserer, Veronika Temml, Paola de Candia, Edi Brogi, Robert Benezra, Anna Vuorinen and Zulfiqar A Bhutta and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Molecules.

In The Last Decade

Muhammad Akram

21 papers receiving 316 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Muhammad Akram	124	100	63	52	50	28	324
Abdul Rashid Issahaku	150 1.2×	110 1.1×	20 0.3×	61 1.2×	28 0.6×	36	295
David Méndez-Luna	171 1.4×	68 0.7×	47 0.7×	47 0.9×	31 0.6×	22	356
Prarambh S. R. Dwivedi	122 1.0×	68 0.7×	72 1.1×	46 0.9×	51 1.0×	27	291
Pedro Fong	152 1.2×	56 0.6×	12 0.2×	30 0.6×	42 0.8×	24	330
Abu Saim Mohammad Saikat	168 1.4×	49 0.5×	21 0.3×	19 0.4×	27 0.5×	24	337
Athanasios A. Panagiotopoulos	111 0.9×	35 0.3×	38 0.6×	22 0.4×	19 0.4×	22	344
Sheng-Quan Fang	171 1.4×	35 0.3×	38 0.6×	24 0.5×	90 1.8×	31	322
Sushant Shengule	70 0.6×	28 0.3×	45 0.7×	104 2.0×	32 0.6×	19	332
Sebaey Mahgoub	157 1.3×	21 0.2×	22 0.3×	88 1.7×	31 0.6×	25	349
Manuel Jonathan Fragoso-Vázquez	179 1.4×	47 0.5×	16 0.3×	72 1.4×	19 0.4×	27	319

Countries citing papers authored by Muhammad Akram

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Akram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Akram

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Akram. A scholar is included among the top collaborators of Muhammad Akram 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 Muhammad Akram. Muhammad Akram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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