Lisa Hasvold

83 total papers · 2.3k total citations
16 papers, 614 citations indexed

About

Lisa Hasvold is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Lisa Hasvold has authored 16 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Organic Chemistry and 8 papers in Oncology. Recurrent topics in Lisa Hasvold's work include Cancer-related Molecular Pathways (5 papers), HER2/EGFR in Cancer Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Lisa Hasvold is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), HER2/EGFR in Cancer Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Lisa Hasvold collaborates with scholars based in United States, United Kingdom and Sweden. Lisa Hasvold's co-authors include Karl P. Peterson, Richard C. Larock, Timothy R. Hightower, Saul H. Rosenberg, Philip J. Merta, Jonas A. Nilsson, Andreas Höglund, Nan‐Horng Lin, Somsundar Veppil Muralidharan and Ulrich Keller and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Lisa Hasvold

15 papers receiving 595 citations

Author Peers

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

Author						Papers	Cites
Lisa Hasvold	415	216	109	59	51	16	614
George M. Adjabeng	464 1.1×	222 1.0×	102 0.9×	41 0.7×	83 1.6×	14	679
Kenneth Crawford	312 0.8×	239 1.1×	92 0.8×	72 1.2×	17 0.3×	16	613
William F. Vernier	450 1.1×	335 1.6×	73 0.7×	34 0.6×	21 0.4×	13	690
Hanumappa Ananda	396 1.0×	259 1.2×	85 0.8×	27 0.5×	19 0.4×	23	672
Maria Menichincheri	254 0.6×	269 1.2×	163 1.5×	31 0.5×	27 0.5×	28	543
Eigoro Murayama	394 0.9×	288 1.3×	62 0.6×	100 1.7×	39 0.8×	32	695
Alan G. Olivero	198 0.5×	312 1.4×	89 0.8×	67 1.1×	29 0.6×	26	611
Shridhar G. Hegde	502 1.2×	228 1.1×	40 0.4×	18 0.3×	42 0.8×	21	677
Klaus Urbahns	173 0.4×	285 1.3×	191 1.8×	34 0.6×	19 0.4×	27	679
Rémy Morgentin	300 0.7×	289 1.3×	172 1.6×	30 0.5×	15 0.3×	23	620

Countries citing papers authored by Lisa Hasvold

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Hasvold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Hasvold

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