Isabell Lang

43 total papers · 525 total citations
29 papers, 391 citations indexed

About

Isabell Lang is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Isabell Lang has authored 29 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Isabell Lang's work include Monoclonal and Polyclonal Antibodies Research (6 papers), NF-κB Signaling Pathways (6 papers) and Immunotherapy and Immune Responses (6 papers). Isabell Lang is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), NF-κB Signaling Pathways (6 papers) and Immunotherapy and Immune Responses (6 papers). Isabell Lang collaborates with scholars based in Germany, United States and Czechia. Isabell Lang's co-authors include Harald Wajant, Daniela Siegmund, Viktoria Schäfer, Andrea Fick, Axel Seher, Steffen Salzmann, Andreas Beilhack, Tina Giner, Manfred Neumann and Martin Chopra and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Bioinformatics.

In The Last Decade

Isabell Lang

27 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Isabell Lang 212 174 97 77 40 29 391
Águeda Martínez‐Barriocanal 163 0.8× 208 1.2× 81 0.8× 90 1.2× 22 0.6× 20 433
Victoria Saferding 242 1.1× 185 1.1× 91 0.9× 93 1.2× 16 0.4× 24 446
Keli Ma 278 1.3× 94 0.5× 90 0.9× 31 0.4× 35 0.9× 23 394
Roberta Thomas 192 0.9× 75 0.4× 73 0.8× 91 1.2× 26 0.7× 17 358
Gareth W. Fearnley 256 1.2× 108 0.6× 69 0.7× 78 1.0× 17 0.4× 19 413
Nalin Leelatian 254 1.2× 143 0.8× 71 0.7× 120 1.6× 21 0.5× 23 437
Marie‐Thérèse Auffredou 181 0.9× 131 0.8× 34 0.4× 98 1.3× 34 0.8× 20 387
Arpita Choudhury 114 0.5× 209 1.2× 84 0.9× 50 0.6× 44 1.1× 23 385
Mrinalini Kala 112 0.5× 201 1.2× 38 0.4× 34 0.4× 63 1.6× 20 387
Shengcai Wei 140 0.7× 150 0.9× 36 0.4× 54 0.7× 32 0.8× 20 387

Countries citing papers authored by Isabell Lang

Since Specialization
Citations

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

Fields of papers citing papers by Isabell Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabell Lang

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