Eva Neuen-Jacob

102 total papers · 2.2k total citations
65 papers, 1.5k citations indexed

About

Eva Neuen-Jacob is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Eva Neuen-Jacob has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Epidemiology and 13 papers in Neurology. Recurrent topics in Eva Neuen-Jacob's work include HIV Research and Treatment (11 papers), Inflammatory Myopathies and Dermatomyositis (9 papers) and Peripheral Neuropathies and Disorders (7 papers). Eva Neuen-Jacob is often cited by papers focused on HIV Research and Treatment (11 papers), Inflammatory Myopathies and Dermatomyositis (9 papers) and Peripheral Neuropathies and Disorders (7 papers). Eva Neuen-Jacob collaborates with scholars based in Germany, France and Netherlands. Eva Neuen-Jacob's co-authors include Gabriele Arendt, Peter Riederer, Eleni Koutsilieri, Mark Obermann, Matthias Maschke, Rivka Ravid, Edna Grünblatt, Christian Jacob, Jasmin Bartl and Wolfgang Roggendorf and has published in prestigious journals such as Neurology, Journal of neurosurgery and Journal of Hepatology.

In The Last Decade

Eva Neuen-Jacob

65 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Eva Neuen-Jacob 498 308 289 285 223 65 1.5k
Caroline Anderson 255 0.5× 406 1.3× 109 0.4× 216 0.8× 277 1.2× 32 1.2k
J Mikol 590 1.2× 315 1.0× 92 0.3× 168 0.6× 286 1.3× 73 1.8k
Fang Niu 888 1.8× 247 0.8× 134 0.5× 144 0.5× 243 1.1× 59 1.8k
Florin Tuluc 591 1.2× 113 0.4× 407 1.4× 147 0.5× 144 0.6× 45 1.5k
Thierry Lesté-Lasserre 382 0.8× 152 0.5× 292 1.0× 366 1.3× 201 0.9× 49 1.5k
Daniele Imperiale 366 0.7× 136 0.4× 264 0.9× 60 0.2× 167 0.7× 62 1.2k
Raghava Potula 360 0.7× 361 1.2× 202 0.7× 119 0.4× 187 0.8× 47 1.7k
Betty L. Hamilton 314 0.6× 194 0.6× 679 2.3× 376 1.3× 137 0.6× 37 1.8k
Sanjay C. Keswani 184 0.4× 278 0.9× 340 1.2× 293 1.0× 160 0.7× 30 1.1k
Gernot P. Tilz 480 1.0× 79 0.3× 94 0.3× 232 0.8× 260 1.2× 76 1.8k

Countries citing papers authored by Eva Neuen-Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Eva Neuen-Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Neuen-Jacob. 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 Eva Neuen-Jacob. The network helps show where Eva Neuen-Jacob may publish in the future.

Co-authorship network of co-authors of Eva Neuen-Jacob

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Neuen-Jacob. A scholar is included among the top collaborators of Eva Neuen-Jacob 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 Eva Neuen-Jacob. Eva Neuen-Jacob 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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