Elisabeth Lehmberg

16 total papers · 405 total citations
11 papers, 307 citations indexed

About

Elisabeth Lehmberg is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Elisabeth Lehmberg has authored 11 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Elisabeth Lehmberg's work include Virus-based gene therapy research (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Elisabeth Lehmberg is often cited by papers focused on Virus-based gene therapy research (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Elisabeth Lehmberg collaborates with scholars based in United States, Israel and Germany. Elisabeth Lehmberg's co-authors include Shalom W. Applebaum, Ernö Pungor, David A. Schooley, Kenji Furuya, David S. King, Hans‐Jörg Ferenz, Eirik Nestaas, Andreas F. R. Hühmer, Timothy Slattery and Dirk Chelius and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Journal of Biochemistry and Journal of Chromatography A.

In The Last Decade

Elisabeth Lehmberg

11 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Elisabeth Lehmberg	176	152	115	85	41	11	307
John K. Kawooya	124 0.7×	151 1.0×	86 0.7×	134 1.6×	13 0.3×	13	351
Jinping Fu	50 0.3×	143 0.9×	35 0.3×	33 0.4×	8 0.2×	23	304
Thilakam Murali	41 0.2×	221 1.5×	36 0.3×	36 0.4×	16 0.4×	6	333
Nancy S. Mueller	34 0.2×	191 1.3×	29 0.3×	19 0.2×	73 1.8×	16	348
Alise R. Muok	98 0.6×	186 1.2×	28 0.2×	23 0.3×	68 1.7×	15	353
Marie-Odile Delorme	65 0.4×	260 1.7×	18 0.2×	9 0.1×	29 0.7×	11	356
Sarah Behrens	64 0.4×	204 1.3×	20 0.2×	80 0.9×	29 0.7×	17	355
Yuki Maruyama	56 0.3×	187 1.2×	38 0.3×	16 0.2×	61 1.5×	17	285
Ulrike Vilas	54 0.3×	203 1.3×	44 0.4×	19 0.2×	31 0.8×	9	333
Terry Brown	51 0.3×	269 1.8×	9 0.1×	20 0.2×	35 0.9×	14	361

Countries citing papers authored by Elisabeth Lehmberg

Since Specialization

Citations

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

Fields of papers citing papers by Elisabeth Lehmberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Lehmberg

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