Nina Weisshaar

16 total papers · 497 total citations
9 papers, 172 citations indexed

About

Nina Weisshaar is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Nina Weisshaar has authored 9 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Nina Weisshaar's work include Immune Cell Function and Interaction (6 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). Nina Weisshaar is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). Nina Weisshaar collaborates with scholars based in Germany, United States and Poland. Nina Weisshaar's co-authors include Guoliang Cui, Kerstin Möhr, Sicong Ma, Jingxia Wu, Agnes Hotz‐Wagenblatt, John Hanna, Ángel Guerra-Moreno, Nicholas D. Schmitt, Begoña Giménez and Nathalie Y.R. Agar and has published in prestigious journals such as Nature Immunology, Science Advances and International Journal of Cancer.

In The Last Decade

Nina Weisshaar

9 papers receiving 169 citations

Author Peers

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

Author						Papers	Cites
Nina Weisshaar	75	59	39	26	23	9	172
Kerstin Möhr	91 1.2×	58 1.0×	45 1.2×	7 0.3×	20 0.9×	10	194
D. Craig Ayre	56 0.7×	155 2.6×	35 0.9×	11 0.4×	24 1.0×	10	252
Xuchao Lyu	41 0.5×	108 1.8×	14 0.4×	21 0.8×	52 2.3×	11	195
Alberta Iacono	92 1.2×	88 1.5×	26 0.7×	13 0.5×	13 0.6×	7	229
Daniel C. Sévin	71 0.9×	84 1.4×	20 0.5×	10 0.4×	23 1.0×	9	203
Guillermo R. Griffith	95 1.3×	79 1.3×	16 0.4×	7 0.3×	15 0.7×	11	205
Flavio Crameri	22 0.3×	114 1.9×	33 0.8×	22 0.8×	10 0.4×	12	221
Ruigong Zhu	63 0.8×	167 2.8×	19 0.5×	13 0.5×	31 1.3×	11	276
Heikrujam Thoihen Meitei	136 1.8×	59 1.0×	58 1.5×	7 0.3×	12 0.5×	10	258
Soo‐Kyung Jeong	74 1.0×	91 1.5×	26 0.7×	4 0.2×	32 1.4×	9	215

Countries citing papers authored by Nina Weisshaar

Since Specialization

Citations

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

Fields of papers citing papers by Nina Weisshaar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Weisshaar

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