Megan Null

1.4k total citations
18 papers, 986 citations indexed

About

Megan Null is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Megan Null has authored 18 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Infectious Diseases and 8 papers in Epidemiology. Recurrent topics in Megan Null's work include Tuberculosis Research and Epidemiology (10 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (6 papers). Megan Null is often cited by papers focused on Tuberculosis Research and Epidemiology (10 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (6 papers). Megan Null collaborates with scholars based in United States, Uganda and Australia. Megan Null's co-authors include Gwendolyn Swarbrick, Meghan Cansler, David Lewinsohn, Deborah A. Lewinsohn, Melanie J. Harriff, Matthew S. Cook, Todd M. Vogt, Wei‐Jen Chua, Olivier Lantz and Susan Smyk‐Pearson and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Megan Null

17 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan Null United States	12	712	369	368	161	97	18	986
Meghan Cansler United States	11	746 1.0×	340 0.9×	347 0.9×	170 1.1×	65 0.7×	14	990
Erin W. Meermeier United States	14	436 0.6×	357 1.0×	364 1.0×	151 0.9×	161 1.7×	29	935
Keith D. Kauffman United States	13	565 0.8×	327 0.9×	578 1.6×	196 1.2×	85 0.9×	15	937
Ulrike Zedler Germany	13	467 0.7×	261 0.7×	514 1.4×	145 0.9×	89 0.9×	18	760
Mercedes Alemán Argentina	20	603 0.8×	369 1.0×	480 1.3×	120 0.7×	101 1.0×	30	928
Tatiana Kondratieva Russia	16	428 0.6×	481 1.3×	637 1.7×	153 1.0×	120 1.2×	34	877
Katrin D Mayer–Barber United States	6	540 0.8×	342 0.9×	502 1.4×	196 1.2×	117 1.2×	6	914
Ashok Cattamanchi United States	6	318 0.4×	273 0.7×	342 0.9×	100 0.6×	51 0.5×	6	646
Silke Bandermann Germany	13	577 0.8×	501 1.4×	705 1.9×	162 1.0×	162 1.7×	16	1.1k
Susan Smyk‐Pearson United States	8	733 1.0×	336 0.9×	132 0.4×	93 0.6×	35 0.4×	8	994

Countries citing papers authored by Megan Null

Since Specialization

Citations

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

Fields of papers citing papers by Megan Null

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Null

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

All Works

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18 of 18 papers shown

Null, Megan, et al.. (2024). The Universal Vital Assessment (UVA) score at 6 hours post-resuscitation predicts mortality in hospitalized adults with severe sepsis in Mbarara, Uganda. PLOS Global Public Health. 4(10). e0003797–e0003797.

Nuwagira, Edwin, David R. Boulware, Mark R. Conaway, et al.. (2022). Early empiric anti- Mycobacterium tuberculosis therapy for sepsis in sub-Saharan Africa: a protocol of a randomised clinical trial. BMJ Open. 12(6). e061953–e061953. 2 indexed citations

Jin, Haihong, Gwendolyn Swarbrick, Meghan Cansler, et al.. (2022). Deaza-modification of MR1 ligands modulates recognition by MR1-restricted T cells. Scientific Reports. 12(1). 22539–22539. 4 indexed citations

Swarbrick, Gwendolyn, Meghan Cansler, Megan Null, et al.. (2020). Postnatal Expansion, Maturation, and Functionality of MR1T Cells in Humans. Frontiers in Immunology. 11. 556695–556695. 16 indexed citations

Awad, Wael, Erin W. Meermeier, Maria L. Sandoval-Romero, et al.. (2020). Atypical TRAV1-2− T cell receptor recognition of the antigen-presenting molecule MR1. Journal of Biological Chemistry. 295(42). 14445–14457. 15 indexed citations

Cansler, Meghan, Megan Null, Erin W. Meermeier, et al.. (2019). Generation of MR1-Restricted T Cell Clones by Limiting Dilution Cloning of MR1 Tetramer+ Cells. Methods in molecular biology. 2098. 219–235. 1 indexed citations

Swarbrick, Gwendolyn, et al.. (2018). Characterization of specific CD4 and CD8 T-cell responses in QuantiFERON TB Gold-Plus TB1 and TB2 tubes. Tuberculosis. 113. 239–241. 11 indexed citations

Harriff, Melanie J., Curtis McMurtrey, Haihong Jin, et al.. (2018). MR1 displays the microbial metabolome driving selective MR1-restricted T cell receptor usage. Science Immunology. 3(25). 93 indexed citations

McMurtrey, Curtis, Melanie J. Harriff, Gwendolyn Swarbrick, et al.. (2017). T cell recognition of Mycobacterium tuberculosis peptides presented by HLA-E derived from infected human cells. PLoS ONE. 12(11). e0188288–e0188288. 36 indexed citations

10.

Harriff, Melanie J., Lisa M. Wolfe, Gwendolyn Swarbrick, et al.. (2017). HLA-E Presents Glycopeptides from the Mycobacterium tuberculosis Protein MPT32 to Human CD8+ T cells. Scientific Reports. 7(1). 4622–4622. 30 indexed citations

11.

Lewinsohn, David, Gwendolyn Swarbrick, Byung Park, et al.. (2017). Comprehensive definition of human immunodominant CD8 antigens in tuberculosis. npj Vaccines. 2(1). 37 indexed citations

12.

Swarbrick, Gwendolyn, Meghan Cansler, Megan Null, et al.. (2013). Human Mycobacterium tuberculosis CD8 T Cell Antigens/Epitopes Identified by a Proteomic Peptide Library. PLoS ONE. 8(6). e67016–e67016. 41 indexed citations

13.

Nyendak, Melissa, Byung Park, Megan Null, et al.. (2013). Mycobacterium tuberculosis Specific CD8+ T Cells Rapidly Decline with Antituberculosis Treatment. PLoS ONE. 8(12). e81564–e81564. 37 indexed citations

14.

Lancioni, Christina, Melissa Nyendak, Sarah Kiguli, et al.. (2011). CD8+ T Cells Provide an Immunologic Signature of Tuberculosis in Young Children. American Journal of Respiratory and Critical Care Medicine. 185(2). 206–212. 56 indexed citations

15.

Nyendak, Melissa, Byung Park, Megan Null, et al.. (2011). Mtb-Specific CD8+ T Cell Responses Decline With Antituberculous Therapy In Smear-Positive Pulmonary TB Cases In Kampala, Uganda. A4038–A4038. 1 indexed citations

16.

Gold, Marielle C., Stefania Cerri, Susan Smyk‐Pearson, et al.. (2010). Human Mucosal Associated Invariant T Cells Detect Bacterially Infected Cells. PLoS Biology. 8(6). e1000407–e1000407. 493 indexed citations

17.

Lancioni, Christina, Melissa Nyendak, Sarah Kiguli, et al.. (2009). Improved Diagnostic Accuracy for Active Tuberculosis in Ugandan Children Using a CD8 ELISPOT Assay.. A4095–A4095. 1 indexed citations

18.

Lewinsohn, Deborah A., Gwendolyn Swarbrick, Matthew S. Cook, et al.. (2007). Immunodominant Tuberculosis CD8 Antigens Preferentially Restricted by HLA-B. PLoS Pathogens. 3(9). e127–e127. 112 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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