Parham Diba

26 total papers · 421 total citations
15 papers, 244 citations indexed

About

Parham Diba is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Parham Diba has authored 15 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Immunology. Recurrent topics in Parham Diba's work include Cancer, Stress, Anesthesia, and Immune Response (4 papers), GDF15 and Related Biomarkers (3 papers) and Nutrition and Health in Aging (3 papers). Parham Diba is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (4 papers), GDF15 and Related Biomarkers (3 papers) and Nutrition and Health in Aging (3 papers). Parham Diba collaborates with scholars based in United States, Netherlands and South Korea. Parham Diba's co-authors include Daniel L. Marks, Tetiana Korzun, Brennan Olson, Julia Ganz, Judith S Eisen, Ellie Melançon, Ingo Braasch, Gaurav Sahay, Peter R. Levasseur and Oleh Taratula and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and ACS Nano.

In The Last Decade

Parham Diba

14 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Parham Diba 112 51 37 36 24 15 244
Henri Puttonen 60 0.5× 24 0.5× 74 2.0× 29 0.8× 29 1.2× 17 253
Marianne Keller 102 0.9× 40 0.8× 17 0.5× 13 0.4× 17 0.7× 15 280
Xiameng Chen 109 1.0× 43 0.8× 18 0.5× 18 0.5× 12 0.5× 26 252
Ya-Lin Huang 154 1.4× 27 0.5× 31 0.8× 40 1.1× 32 1.3× 17 318
Pablo Lois 144 1.3× 26 0.5× 23 0.6× 17 0.5× 9 0.4× 15 308
Hannah Smith 83 0.7× 37 0.7× 22 0.6× 27 0.8× 7 0.3× 17 272
Martin Heinrichs 89 0.8× 16 0.3× 26 0.7× 17 0.5× 23 1.0× 14 300
Ross 113 1.0× 28 0.5× 90 2.4× 62 1.7× 26 1.1× 15 312
Ann Schwartz 91 0.8× 34 0.7× 17 0.5× 22 0.6× 31 1.3× 17 312
Edina Szabó‐Meleg 172 1.5× 16 0.3× 24 0.6× 30 0.8× 13 0.5× 17 323

Countries citing papers authored by Parham Diba

Since Specialization
Citations

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

Fields of papers citing papers by Parham Diba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parham Diba

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