Tom Sidwell

989 total citations
9 papers, 223 citations indexed

About

Tom Sidwell is a scholar working on Immunology, Molecular Biology and Dermatology. According to data from OpenAlex, Tom Sidwell has authored 9 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Dermatology. Recurrent topics in Tom Sidwell's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Urticaria and Related Conditions (1 paper). Tom Sidwell is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Urticaria and Related Conditions (1 paper). Tom Sidwell collaborates with scholars based in Australia, Japan and United States. Tom Sidwell's co-authors include Ajithkumar Vasanthakumar, Ashish Banerjee, George Grigoriadis, Ellen V. Rothenberg, David Hawkes, Rachael A. Dunlop, Axel Kallies, Yang Liao, Renee Gloury and Raffi Gugasyan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Immunological Reviews.

In The Last Decade

Tom Sidwell

9 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Sidwell Australia	7	154	47	32	25	18	9	223
Thordis Hohnstein Germany	4	173 1.1×	54 1.1×	63 2.0×	13 0.5×	16 0.9×	5	252
Maya Hassane Lebanon	8	181 1.2×	61 1.3×	68 2.1×	21 0.8×	11 0.6×	14	268
Manuela Terranova Barberio United States	3	175 1.1×	65 1.4×	42 1.3×	16 0.6×	47 2.6×	8	261
Sarah K. Whiteside United States	7	191 1.2×	49 1.0×	90 2.8×	10 0.4×	15 0.8×	10	289
Changsoo Kwak United States	3	169 1.1×	90 1.9×	57 1.8×	12 0.5×	32 1.8×	4	283
Danielle Sartini United States	8	241 1.6×	48 1.0×	39 1.2×	17 0.7×	20 1.1×	9	358
Stefania Gentile Italy	4	153 1.0×	52 1.1×	13 0.4×	14 0.6×	5 0.3×	4	196
Rebeca Arroyo Hornero United States	7	164 1.1×	40 0.9×	62 1.9×	7 0.3×	13 0.7×	13	244
Johanna C. Ehlers Germany	3	98 0.6×	63 1.3×	41 1.3×	16 0.6×	6 0.3×	4	263
Zhiyong Lu China	7	119 0.8×	99 2.1×	13 0.4×	16 0.6×	16 0.9×	11	252

Countries citing papers authored by Tom Sidwell

Since Specialization

Citations

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

Fields of papers citing papers by Tom Sidwell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Sidwell

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Sidwell. A scholar is included among the top collaborators of Tom Sidwell 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 Tom Sidwell. Tom Sidwell 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.

Matsumoto, Kazuaki, Kazuki Okuyama, Tom Sidwell, et al.. (2024). A Bcl11bN797K variant isolated from an immunodeficient patient inhibits early thymocyte development in mice. Frontiers in Immunology. 15. 3 indexed citations

2.

Sidwell, Tom & Ellen V. Rothenberg. (2021). Epigenetic Dynamics in the Function of T-Lineage Regulatory Factor Bcl11b. Frontiers in Immunology. 12. 669498–669498. 18 indexed citations

3.

Sidwell, Tom, Yang Liao, Alexandra L. Garnham, et al.. (2020). Attenuation of TCR-induced transcription by Bach2 controls regulatory T cell differentiation and homeostasis. Nature Communications. 11(1). 252–252. 63 indexed citations

4.

Ly, Ann, Yang Liao, Lisa J. Ioannidis, et al.. (2019). Transcription Factor T-bet in B Cells Modulates Germinal Center Polarization and Antibody Affinity Maturation in Response to Malaria. Cell Reports. 29(8). 2257–2269.e6. 36 indexed citations

5.

Edwards, Chelsea L., Marcela Montes de, Fabian de Labastida Rivera, et al.. (2018). The Role of BACH2 in T Cells in Experimental Malaria Caused by Plasmodium chabaudi chabaudi AS. Frontiers in Immunology. 9. 2578–2578. 6 indexed citations

6.

Vasanthakumar, Ajithkumar, Julie Tellier, Tom Sidwell, et al.. (2016). The transcriptional regulator, IRF4 is essential for the development of follicular T regulatory cells. European Journal of Immunology. 46. 1 indexed citations

7.

Hawkes, David, et al.. (2015). Revisiting adverse reactions to vaccines: A critical appraisal of Autoimmune Syndrome Induced by Adjuvants (ASIA). Journal of Autoimmunity. 59. 77–84. 36 indexed citations

8.

Sidwell, Tom, et al.. (2013). Thymic Regulatory T Cell Development: Role of Signalling Pathways and Transcription Factors. SHILAP Revista de lepidopterología. 2013. 1–8. 15 indexed citations

9.

Gerondakis, Steve, Ashish Banerjee, George Grigoriadis, et al.. (2012). NF‐κB subunit specificity in hemopoiesis. Immunological Reviews. 246(1). 272–285. 45 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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