Megan Heimann

1.0k total citations · 1 hit paper
6 papers, 535 citations indexed

About

Megan Heimann is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, Megan Heimann has authored 6 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Megan Heimann's work include CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (2 papers) and Immunotherapy and Immune Responses (2 papers). Megan Heimann is often cited by papers focused on CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (2 papers) and Immunotherapy and Immune Responses (2 papers). Megan Heimann collaborates with scholars based in United States, France and Australia. Megan Heimann's co-authors include Tyler Jacks, Lakshmipriya Subbaraj, Matthew R. Bauer, Matthew G. Vander Heiden, Thales Papagiannakopoulos, Arjun Bhutkar, Shawn M. Davidson, Róbert Langer, Shirley Mao and Armon Sharei and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Scientific Reports.

In The Last Decade

Megan Heimann

6 papers receiving 529 citations

Hit Papers

align trajectories sort by overperformance

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.

Circadian Rhythm Disruption Promotes Lung Tumorigenesis

2016 398 citations Thales Papagiannakopoulos, Matthew R. Bauer et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan Heimann United States	4	280	169	151	85	62	6	535
Toke P. Krogager United Kingdom	10	154 0.6×	242 1.4×	95 0.6×	15 0.2×	18 0.3×	12	541
Véronique Roche United States	7	143 0.5×	376 2.2×	74 0.5×	8 0.1×	43 0.7×	9	610
Tetsuya Gotoh United States	11	258 0.9×	159 0.9×	122 0.8×	7 0.1×	24 0.4×	15	446
Eline C. Brombacher Netherlands	6	85 0.3×	185 1.1×	94 0.6×	11 0.1×	36 0.6×	8	361
Yinghong Pan United States	10	105 0.4×	197 1.2×	56 0.4×	8 0.1×	25 0.4×	14	368
Panshak Dakup United States	9	117 0.4×	56 0.3×	55 0.4×	6 0.1×	41 0.7×	15	254
Anke Mueller Germany	6	136 0.5×	178 1.1×	89 0.6×	4 0.0×	13 0.2×	9	372
Cyril Statzer Switzerland	12	41 0.1×	146 0.9×	100 0.7×	43 0.5×	10 0.2×	17	372
Jill Wright United States	6	70 0.3×	228 1.3×	267 1.8×	16 0.2×	13 0.2×	7	585
Rosemarie Scanzano Canada	11	50 0.2×	267 1.6×	48 0.3×	19 0.2×	32 0.5×	19	412

Countries citing papers authored by Megan Heimann

Since Specialization

Citations

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

Fields of papers citing papers by Megan Heimann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Heimann

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

All Works

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6 of 6 papers shown

1.

Papagiannakopoulos, Thales, Matthew R. Bauer, Shawn M. Davidson, et al.. (2016). Circadian Rhythm Disruption Promotes Lung Tumorigenesis. Cell Metabolism. 24(2). 324–331. 398 indexed citations breakdown →

2.

Szeto, Gregory L., Debra Van Egeren, Armon Sharei, et al.. (2015). Microfluidic squeezing for intracellular antigen loading in polyclonal B-cells as cellular vaccines. Scientific Reports. 5(1). 10276–10276. 2 indexed citations

3.

Szeto, Gregory L., Debra Van Egeren, Armon Sharei, et al.. (2015). Microfluidic squeezing for intracellular antigen loading in polyclonal B-cells as cellular vaccines. Europe PMC (PubMed Central). 79 indexed citations

4.

Sharei, Armon, Radiana Trifonova, Siddharth Jhunjhunwala, et al.. (2015). Ex Vivo Cytosolic Delivery of Functional Macromolecules to Immune Cells. PLoS ONE. 10(4). e0118803–e0118803. 47 indexed citations

5.

Chiou, Shin-Heng, Caroline Kim-Kiselak, Viviana I. Risca, et al.. (2014). A Conditional System to Specifically Link Disruption of Protein-Coding Function with Reporter Expression in Mice. Cell Reports. 7(6). 2078–2086. 8 indexed citations

6.

Hornstein, L, et al.. (1985). Rubella immunity measured by hemagglutination inhibition and enzyme-linked immunosorbent assay.. PubMed. 21(8). 666–9. 1 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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