Danielle A. Chisolm

627 total citations
9 papers, 386 citations indexed

About

Danielle A. Chisolm is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Danielle A. Chisolm has authored 9 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Danielle A. Chisolm's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Epigenetics and DNA Methylation (2 papers). Danielle A. Chisolm is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Epigenetics and DNA Methylation (2 papers). Danielle A. Chisolm collaborates with scholars based in United States, United Kingdom and Canada. Danielle A. Chisolm's co-authors include Amy S. Weinmann, André Ballesteros‐Tato, Beatriz León, John J. O’Shea, David K. Crossman, Daniel Savic, Cornelis Murre, R Myers, Amanda J. Moore and Amber M. Papillion and has published in prestigious journals such as Immunity, The Journal of Immunology and Annual Review of Immunology.

In The Last Decade

Danielle A. Chisolm

9 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle A. Chisolm United States	8	238	135	67	52	28	9	386
Dilip Kumar Singapore	8	187 0.8×	131 1.0×	70 1.0×	99 1.9×	23 0.8×	15	351
Guangyao Yu United States	7	129 0.5×	134 1.0×	55 0.8×	36 0.7×	21 0.8×	13	380
Shengcai Wei China	13	151 0.6×	147 1.1×	55 0.8×	37 0.7×	21 0.8×	20	394
Émilie Ronin France	9	304 1.3×	93 0.7×	151 2.3×	39 0.8×	23 0.8×	9	475
Lijie Yin China	9	270 1.1×	87 0.6×	157 2.3×	31 0.6×	24 0.9×	16	431
I‐Ying Lin Taiwan	12	177 0.7×	214 1.6×	40 0.6×	46 0.9×	14 0.5×	14	413
Ann-Christin Frank Germany	7	215 0.9×	217 1.6×	60 0.9×	161 3.1×	25 0.9×	8	408
Saurav De United States	10	169 0.7×	173 1.3×	125 1.9×	67 1.3×	24 0.9×	14	368
G Preston United Kingdom	5	295 1.2×	223 1.7×	137 2.0×	51 1.0×	15 0.5×	6	473

Countries citing papers authored by Danielle A. Chisolm

Since Specialization

Citations

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

Fields of papers citing papers by Danielle A. Chisolm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle A. Chisolm. 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 Danielle A. Chisolm. The network helps show where Danielle A. Chisolm may publish in the future.

Co-authorship network of co-authors of Danielle A. Chisolm

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

All Works

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9 of 9 papers shown

1.

Morrison, Tasha, William Henry Hudson, Danielle A. Chisolm, et al.. (2021). Evolving Views of Long Noncoding RNAs and Epigenomic Control of Lymphocyte State and Memory. Cold Spring Harbor Perspectives in Biology. 14(1). a037952–a037952. 5 indexed citations

2.

Gadina, Massimo, et al.. (2020). Translating JAKs to Jakinibs. The Journal of Immunology. 204(8). 2011–2020. 44 indexed citations

3.

Papillion, Amber M., Michael D. Powell, Danielle A. Chisolm, et al.. (2019). Inhibition of IL-2 responsiveness by IL-6 is required for the generation of GC-T _FH cells. Science Immunology. 4(39). 93 indexed citations

4.

Chisolm, Danielle A., et al.. (2019). Defining Genetic Variation in Widely Used Congenic and Backcrossed Mouse Models Reveals Varied Regulation of Genes Important for Immune Responses. Immunity. 51(1). 155–168.e5. 25 indexed citations

5.

Chisolm, Danielle A. & Amy S. Weinmann. (2018). Metabolites, genome organization, and cellular differentiation gene programs. Current Opinion in Immunology. 51. 62–67. 8 indexed citations

6.

Chisolm, Danielle A. & Amy S. Weinmann. (2018). Connections Between Metabolism and Epigenetics in Programming Cellular Differentiation. Annual Review of Immunology. 36(1). 221–246. 98 indexed citations

7.

Chisolm, Danielle A., Daniel Savic, Amanda J. Moore, et al.. (2017). CCCTC-Binding Factor Translates Interleukin 2- and α-Ketoglutarate-Sensitive Metabolic Changes in T Cells into Context-Dependent Gene Programs. Immunity. 47(2). 251–267.e7. 80 indexed citations

8.

Hough, Kenneth P., Danielle A. Chisolm, & Amy S. Weinmann. (2015). Transcriptional regulation of T cell metabolism. Molecular Immunology. 68(2). 520–526. 15 indexed citations

9.

Chisolm, Danielle A. & Amy S. Weinmann. (2015). TCR-Signaling Events in Cellular Metabolism and Specialization. Frontiers in Immunology. 6. 292–292. 18 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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