Maria Haslip

15 total papers · 649 total citations
9 papers, 344 citations indexed

About

Maria Haslip is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Maria Haslip has authored 9 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Maria Haslip's work include Heme Oxygenase-1 and Carbon Monoxide (2 papers), Hepatitis B Virus Studies (1 paper) and Vitamin C and Antioxidants Research (1 paper). Maria Haslip is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (2 papers), Hepatitis B Virus Studies (1 paper) and Vitamin C and Antioxidants Research (1 paper). Maria Haslip collaborates with scholars based in United States and Poland. Maria Haslip's co-authors include Patty J. Lee, Praveen Mannam, Yi Zhang, Peiying Shan, Maor Sauler, Melissa P. Knauert, Kerry S. Russell, Michael J. Jurczak, Frank J. Giordano and Serpil C. Erzurum and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The FASEB Journal.

In The Last Decade

Maria Haslip

9 papers receiving 343 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Haslip 183 95 69 66 50 9 344
Jennifer Rose 208 1.1× 55 0.6× 45 0.7× 50 0.8× 67 1.3× 11 388
Alexander Garcia 160 0.9× 86 0.9× 77 1.1× 70 1.1× 35 0.7× 14 340
Phani K. Patibandla 97 0.5× 58 0.6× 48 0.7× 56 0.8× 37 0.7× 14 348
Parvin Ataie-Kachoie 136 0.7× 32 0.3× 51 0.7× 90 1.4× 65 1.3× 7 372
Haozhe Qi 156 0.9× 53 0.6× 62 0.9× 168 2.5× 41 0.8× 11 359
Sandra S. Shasby 160 0.9× 88 0.9× 36 0.5× 126 1.9× 24 0.5× 13 387
Michael Dymond 176 1.0× 61 0.6× 32 0.5× 57 0.9× 81 1.6× 7 377
Lingyin Ge 114 0.6× 142 1.5× 39 0.6× 60 0.9× 53 1.1× 11 324
Marson T. Davidson 80 0.4× 81 0.9× 82 1.2× 84 1.3× 57 1.1× 9 329
Mary E. Rosandich 86 0.5× 33 0.3× 58 0.8× 91 1.4× 36 0.7× 9 389

Countries citing papers authored by Maria Haslip

Since Specialization
Citations

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

Fields of papers citing papers by Maria Haslip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Haslip

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