Muhammad G. Alam

11 total papers · 956 total citations
7 papers, 697 citations indexed

About

Muhammad G. Alam is a scholar working on Nephrology, Genetics and Hematology. According to data from OpenAlex, Muhammad G. Alam has authored 7 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 3 papers in Genetics and 3 papers in Hematology. Recurrent topics in Muhammad G. Alam's work include Dialysis and Renal Disease Management (3 papers), Acute Kidney Injury Research (3 papers) and Iron Metabolism and Disorders (3 papers). Muhammad G. Alam is often cited by papers focused on Dialysis and Renal Disease Management (3 papers), Acute Kidney Injury Research (3 papers) and Iron Metabolism and Disorders (3 papers). Muhammad G. Alam collaborates with scholars based in United States, Singapore and India. Muhammad G. Alam's co-authors include Sudhir V. Shah, Sundararaman Swaminathan, Vivian Fonseca, Dinesh K. Chatoth, Mary Jo Shaver, Mark R. Marshall, Thomas A. Golper, Umapati Hegde and Mohan Rajapurkar and has published in prestigious journals such as Diabetes Care, Kidney International and American Journal of Kidney Diseases.

In The Last Decade

Muhammad G. Alam

7 papers receiving 652 citations

Author Peers

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

Author Last Decade Papers Cites
Muhammad G. Alam 259 203 115 99 98 7 697
Robert C. Kopelman 308 1.2× 175 0.9× 108 0.9× 70 0.7× 39 0.4× 12 633
B. Canaud 382 1.5× 164 0.8× 54 0.5× 106 1.1× 100 1.0× 7 744
Rohini Adhikarla 426 1.6× 229 1.1× 91 0.8× 94 0.9× 133 1.4× 7 738
Jo Franssen 103 0.4× 224 1.1× 66 0.6× 39 0.4× 121 1.2× 12 593
Nina Vasavada 209 0.8× 145 0.7× 87 0.8× 49 0.5× 36 0.4× 9 562
Vaughn W. Folkert 276 1.1× 238 1.2× 154 1.3× 28 0.3× 69 0.7× 27 771
Tung-Po Huang 317 1.2× 130 0.6× 42 0.4× 127 1.3× 126 1.3× 20 645
Shawn D. Chase 124 0.5× 149 0.7× 89 0.8× 50 0.5× 33 0.3× 6 577
L. R. I. Baker 295 1.1× 359 1.8× 193 1.7× 57 0.6× 71 0.7× 25 775
Shih-Ping Hsu 199 0.8× 41 0.2× 35 0.3× 52 0.5× 142 1.4× 16 701

Countries citing papers authored by Muhammad G. Alam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad G. Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad G. Alam

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