Christy M. Hoffmann

1.2k total citations · 1 hit paper
7 papers, 395 citations indexed

About

Christy M. Hoffmann is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Christy M. Hoffmann has authored 7 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Immunology. Recurrent topics in Christy M. Hoffmann's work include Gene Regulatory Network Analysis (2 papers), Neonatal Respiratory Health Research (2 papers) and RNA modifications and cancer (1 paper). Christy M. Hoffmann is often cited by papers focused on Gene Regulatory Network Analysis (2 papers), Neonatal Respiratory Health Research (2 papers) and RNA modifications and cancer (1 paper). Christy M. Hoffmann collaborates with scholars based in United States and Germany. Christy M. Hoffmann's co-authors include Kenji Kamimoto, Samantha A. Morris, Kunal Jindal, Blerta Stringa, Lilianna Solnica‐Krezel, Michael E. Hughes, Karyn A. Esser, Collin M. Douglas, Jiajia Li and Ming Gong and has published in prestigious journals such as Nature, Journal of Clinical Investigation and eLife.

In The Last Decade

Christy M. Hoffmann

7 papers receiving 394 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dissecting cell identity via network inference and in silico gene perturbation

2023 228 citations Kenji Kamimoto, Blerta Stringa et al. Nature profile →

Peers

Christy M. Hoffmann

MB

PHYSI

IMMUN

BIOPH

CR

Gina P. Kwon United States

Jeea Choi United States

Taha Qaiser Canada

Sergio Mora-Castilla United States

Rémi Hudelle Switzerland

Hector Roux de Bézieux United States

Daniel Simão Portugal

Héctor Sánchez-Iranzo Spain

Christiane Kummer Germany

Fotis Kolokathis Greece

Gina P. Kwon United States

Christy M. Hoffmann

143 ×0.5

MB

15 ×0.3

PHYSI

37 ×1.0

IMMUN

17 ×0.5

BIOPH

16 ×0.5

CR

Citations per year, relative to Christy M. Hoffmann Christy M. Hoffmann (= 1×) peers Gina P. Kwon

Countries citing papers authored by Christy M. Hoffmann

Since Specialization

Citations

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

Fields of papers citing papers by Christy M. Hoffmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christy M. Hoffmann. 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 Christy M. Hoffmann. The network helps show where Christy M. Hoffmann may publish in the future.

Co-authorship network of co-authors of Christy M. Hoffmann

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

All Works

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7 of 7 papers shown

1.

Wu, Kangyun, Yong Zhang, Kelly Sun, et al.. (2024). A correctable immune niche for epithelial stem cell reprogramming and post-viral lung diseases. Journal of Clinical Investigation. 134(18). 1 indexed citations

2.

Kamimoto, Kenji, Blerta Stringa, Christy M. Hoffmann, et al.. (2023). Dissecting cell identity via network inference and in silico gene perturbation. Nature. 614(7949). 742–751. 228 indexed citations breakdown →

3.

Keeler, Shamus P., Kangyun Wu, Jiajia Li, et al.. (2023). An alternative mechanism for skeletal muscle dysfunction in long-term post-viral lung disease. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(6). L870–L878. 2 indexed citations

4.

Kamimoto, Kenji, Kunal Jindal, Christy M. Hoffmann, et al.. (2022). Gene regulatory network reconfiguration in direct lineage reprogramming. Stem Cell Reports. 18(1). 97–112. 22 indexed citations

5.

Wu, Kangyun, Kenji Kamimoto, Yong Zhang, et al.. (2021). Basal epithelial stem cells cross an alarmin checkpoint for postviral lung disease. Journal of Clinical Investigation. 131(19). 30 indexed citations

6.

Zhang, Xiping, Christy M. Hoffmann, Laura D. Hughes, et al.. (2018). Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues. eLife. 7. 110 indexed citations

7.

Hoffmann, Christy M., et al.. (2012). Deletion of cdc42 in osteoblast progenitors leads to increased adipocyte differentiation and decreased bone formation. Bone. 50. S43–S43. 2 indexed citations

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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