Jesse C. Nussbaum

45 total papers · 5.6k total citations
32 papers, 4.2k citations indexed

About

Jesse C. Nussbaum is a scholar working on Immunology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jesse C. Nussbaum has authored 32 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jesse C. Nussbaum's work include IL-33, ST2, and ILC Pathways (10 papers), Eosinophilic Esophagitis (8 papers) and Immune Cell Function and Interaction (8 papers). Jesse C. Nussbaum is often cited by papers focused on IL-33, ST2, and ILC Pathways (10 papers), Eosinophilic Esophagitis (8 papers) and Immune Cell Function and Interaction (8 papers). Jesse C. Nussbaum collaborates with scholars based in United States, United Kingdom and Switzerland. Jesse C. Nussbaum's co-authors include Richard M. Locksley, Ari B. Molofsky, Hong-Erh Liang, Steven J. Van Dyken, Ajay Chawla, Alexander Mohapatra, Laurence E. Cheng, Jinwoo Lee, Emily Thornton and Matthew F. Krummel and has published in prestigious journals such as Nature, Cell and The Journal of Experimental Medicine.

In The Last Decade

Jesse C. Nussbaum

32 papers receiving 4.1k citations

Hit Papers

Type 2 innate lymphoid ce... 2013 2026 2017 2021 2013 2013 2014 2018 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Jesse C. Nussbaum 2.8k 1.7k 1.2k 996 371 32 4.2k
Steven J. Van Dyken 3.2k 1.1× 1.7k 1.0× 1.2k 1.0× 536 0.5× 170 0.5× 42 4.5k
Natasha K. Crellin 4.7k 1.6× 1.3k 0.7× 634 0.5× 456 0.5× 208 0.6× 20 6.0k
Damo Xu 3.9k 1.4× 525 0.3× 968 0.8× 978 1.0× 344 0.9× 35 6.0k
Anja Fuchs 5.1k 1.8× 1.4k 0.8× 389 0.3× 694 0.7× 493 1.3× 54 6.6k
Dirk E. Smith 5.3k 1.9× 2.1k 1.2× 1.3k 1.1× 501 0.5× 197 0.5× 48 7.3k
Aya Nambu 4.1k 1.4× 546 0.3× 696 0.6× 395 0.4× 367 1.0× 36 5.8k
Ari B. Molofsky 4.7k 1.7× 2.2k 1.3× 2.0k 1.7× 1.3k 1.3× 170 0.5× 51 7.7k
Margaret Karow 2.6k 0.9× 389 0.2× 943 0.8× 1.2k 1.2× 382 1.0× 35 5.7k
Damo Xu 5.5k 1.9× 2.9k 1.7× 1.2k 1.0× 527 0.5× 146 0.4× 50 6.8k
Jochen Schmitz 3.8k 1.3× 1.8k 1.0× 762 0.6× 640 0.6× 182 0.5× 44 5.6k

Countries citing papers authored by Jesse C. Nussbaum

Since Specialization
Citations

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

Fields of papers citing papers by Jesse C. Nussbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse C. Nussbaum. 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 Jesse C. Nussbaum. The network helps show where Jesse C. Nussbaum may publish in the future.

Co-authorship network of co-authors of Jesse C. Nussbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse C. Nussbaum. A scholar is included among the top collaborators of Jesse C. Nussbaum 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 Jesse C. Nussbaum. Jesse C. Nussbaum 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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