Di An

44 total papers · 4.2k total citations
24 papers, 849 citations indexed

About

Di An is a scholar working on Epidemiology, Hepatology and Rheumatology. According to data from OpenAlex, Di An has authored 24 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Hepatology and 6 papers in Rheumatology. Recurrent topics in Di An's work include Hepatitis C virus research (9 papers), Liver Disease Diagnosis and Treatment (8 papers) and Hepatitis B Virus Studies (7 papers). Di An is often cited by papers focused on Hepatitis C virus research (9 papers), Liver Disease Diagnosis and Treatment (8 papers) and Hepatitis B Virus Studies (7 papers). Di An collaborates with scholars based in United States, China and New Zealand. Di An's co-authors include Robert H. Hyland, Diana M. Brainard, Edward Gane, John G. McHutchison, William T. Symonds, Phillip S. Pang, Catherine Stedman, Eric Lawitz, Evguenia S. Svarovskaia and Hadas Dvory‐Sobol and has published in prestigious journals such as The Lancet, Gastroenterology and Hepatology.

In The Last Decade

Di An

21 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Di An 716 678 94 90 36 24 849
Mario Romano 920 1.3× 850 1.3× 91 1.0× 85 0.9× 43 1.2× 9 963
Mauro Annese 978 1.4× 917 1.4× 83 0.9× 76 0.8× 16 0.4× 14 1.0k
J.-P. Zarski 650 0.9× 586 0.9× 149 1.6× 30 0.3× 18 0.5× 14 719
Yuri Sánchez González 506 0.7× 673 1.0× 69 0.7× 83 0.9× 28 0.8× 65 905
J. Micallef 875 1.2× 813 1.2× 60 0.6× 99 1.1× 23 0.6× 14 960
Joann Harvey 868 1.2× 789 1.2× 93 1.0× 83 0.9× 19 0.5× 8 911
Vincenzo Guadagnino 822 1.1× 752 1.1× 70 0.7× 104 1.2× 25 0.7× 42 950
Jean DePamphilis 556 0.8× 542 0.8× 69 0.7× 120 1.3× 37 1.0× 15 700
Armen Asatryan 644 0.9× 495 0.7× 157 1.7× 286 3.2× 28 0.8× 36 841
Karin Lindahl 582 0.8× 515 0.8× 72 0.8× 157 1.7× 58 1.6× 30 770

Countries citing papers authored by Di An

Since Specialization
Citations

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

Fields of papers citing papers by Di An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di An

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026