Muhammad Saqib

48 total papers · 694 total citations
26 papers, 310 citations indexed

About

Muhammad Saqib is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Muhammad Saqib has authored 26 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Epidemiology. Recurrent topics in Muhammad Saqib's work include Artificial Intelligence in Healthcare and Education (5 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Muhammad Saqib is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Muhammad Saqib collaborates with scholars based in Pakistan, United States and United Kingdom. Muhammad Saqib's co-authors include Hassan Mumtaz, Muhammad Iftikhar, Shaheer Ellahi Khan, Soumi Chattopadhyay, Chandranath Adak, Qasim Mehmood, Irfan Ullah, Iftikhar Uddin, Muhammad Rehan and A. R. Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Frontiers in Medicine.

In The Last Decade

Muhammad Saqib

21 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Muhammad Saqib	68	54	48	42	36	26	310
Sheng-Chieh Lu	59 0.9×	54 1.0×	46 1.0×	42 1.0×	51 1.4×	27	329
Malte L Schmieding	62 0.9×	34 0.6×	24 0.5×	61 1.5×	30 0.8×	16	256
Janny Xue Chen Ke	125 1.8×	44 0.8×	39 0.8×	21 0.5×	52 1.4×	21	310
Irfan Ahmed	111 1.6×	75 1.4×	30 0.6×	23 0.5×	43 1.2×	16	364
Jack Gallifant	87 1.3×	33 0.6×	46 1.0×	31 0.7×	15 0.4×	36	241
Sebastian Fritsch	150 2.2×	64 1.2×	45 0.9×	34 0.8×	28 0.8×	27	326
Shruti Jayakumar	48 0.7×	40 0.7×	35 0.7×	32 0.8×	70 1.9×	25	270
C. Winnie Yu‐Moe	32 0.5×	62 1.1×	70 1.5×	70 1.7×	28 0.8×	11	324
Sujay Nagaraj	126 1.9×	64 1.2×	52 1.1×	24 0.6×	23 0.6×	16	254
Carl Preiksaitis	162 2.4×	63 1.2×	68 1.4×	17 0.4×	64 1.8×	23	347

Countries citing papers authored by Muhammad Saqib

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Saqib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Saqib

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Saqib. A scholar is included among the top collaborators of Muhammad Saqib 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 Saqib. Muhammad Saqib 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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