Jennifer Alt

4.3k total citations · 1 hit paper
8 papers, 3.3k citations indexed

About

Jennifer Alt is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jennifer Alt has authored 8 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Jennifer Alt's work include Tuberculosis Research and Epidemiology (3 papers), Immune Cell Function and Interaction (3 papers) and Immune Response and Inflammation (3 papers). Jennifer Alt is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Immune Cell Function and Interaction (3 papers) and Immune Response and Inflammation (3 papers). Jennifer Alt collaborates with scholars based in United States. Jennifer Alt's co-authors include Kristi Kincaid, Charles D. Mills, Samuel M. Behar, Christopher C. Dascher, Alissa A. Chackerian, Hajer Debbabi, Arati B. Kamath, Sarah E. Dunsmore, Daphne E. deMello and Shamik Ghosh and has published in prestigious journals such as The Journal of Immunology, Infection and Immunity and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

Jennifer Alt

8 papers receiving 3.3k citations

Hit Papers

M-1/M-2 Macrophages and the Th1/Th2 Paradigm 2000 2026 2008 2017 2000 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jennifer Alt United States 7 2.0k 844 583 458 404 8 3.3k
Sunil K. Shaw United States 30 2.2k 1.1× 1.4k 1.6× 381 0.7× 271 0.6× 563 1.4× 64 4.9k
Seema S. Ahuja United States 40 2.2k 1.1× 918 1.1× 591 1.0× 575 1.3× 979 2.4× 71 4.4k
Lidia Bosurgi Germany 22 2.1k 1.0× 913 1.1× 346 0.6× 358 0.8× 399 1.0× 34 3.6k
Laura Helming Germany 18 2.2k 1.1× 1.3k 1.6× 554 1.0× 253 0.6× 493 1.2× 25 4.4k
Santiago Partida‐Sánchez United States 30 1.6k 0.8× 1.2k 1.4× 579 1.0× 243 0.5× 465 1.2× 66 4.1k
Hisakata Yamada Japan 41 3.4k 1.7× 951 1.1× 811 1.4× 469 1.0× 756 1.9× 137 5.4k
Ricardo Gonçalves Brazil 19 1.3k 0.7× 867 1.0× 591 1.0× 300 0.7× 275 0.7× 42 2.9k
Yulia Ivanova United States 5 2.0k 1.0× 1.2k 1.4× 521 0.9× 295 0.6× 202 0.5× 5 3.2k
Harumichi Ishigame Japan 18 3.4k 1.7× 768 0.9× 399 0.7× 337 0.7× 739 1.8× 28 4.7k
Mari L. Shinohara United States 38 1.8k 0.9× 1.8k 2.1× 532 0.9× 265 0.6× 410 1.0× 78 4.2k

Countries citing papers authored by Jennifer Alt

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Alt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Alt

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Alt. A scholar is included among the top collaborators of Jennifer Alt 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 Jennifer Alt. Jennifer Alt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Mills, Charles D., et al.. (2017). Pillars Article: M-1/M-2 Macrophages and the Th1/Th2 Paradigm. J. Immunol. 2000. 164: 6166–6173. The Journal of Immunology. 199(7). 2194–2201. 3 indexed citations
2.
Mills, Charles D., et al.. (2017). Pillars Article: M-1/M-2 Macrophages and the Th1/Th2 Paradigm. J. Immunol. 2000. 164: 6166–6173. The Journal of Immunology. 199(7). 2194–2201. 344 indexed citations
3.
Debbabi, Hajer, Shamik Ghosh, Arati B. Kamath, et al.. (2005). Primary type II alveolar epithelial cells present microbial antigens to antigen-specific CD4+T cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 289(2). L274–L279. 85 indexed citations
5.
Kamath, Arati B., Jennifer Alt, Hajer Debbabi, & Samuel M. Behar. (2003). Toll-Like Receptor 4-Defective C3H/HeJ Mice Are Not More Susceptible than Other C3H Substrains to Infection withMycobacterium tuberculosis. Infection and Immunity. 71(7). 4112–4118. 70 indexed citations
6.
Chackerian, Alissa A., et al.. (2002). Dissemination ofMycobacterium tuberculosisIs Influenced by Host Factors and Precedes the Initiation of T-Cell Immunity. Infection and Immunity. 70(8). 4501–4509. 315 indexed citations
7.
Tilden, Andrea R., et al.. (2001). Influence of Photoperiod on N-Acetyltransferase Activity and Melatonin in the Fiddler Crab Uca pugilator. General and Comparative Endocrinology. 122(3). 233–237. 26 indexed citations
8.
Mills, Charles D., et al.. (2000). M-1/M-2 Macrophages and the Th1/Th2 Paradigm. The Journal of Immunology. 164(12). 6166–6173. 2471 indexed citations breakdown →

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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