Davis Sim

1000 total citations · 1 hit paper
7 papers, 838 citations indexed

About

Davis Sim is a scholar working on Immunology, Rheumatology and Rehabilitation. According to data from OpenAlex, Davis Sim has authored 7 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Rheumatology and 2 papers in Rehabilitation. Recurrent topics in Davis Sim's work include Systemic Lupus Erythematosus Research (3 papers), T-cell and B-cell Immunology (3 papers) and Wound Healing and Treatments (2 papers). Davis Sim is often cited by papers focused on Systemic Lupus Erythematosus Research (3 papers), T-cell and B-cell Immunology (3 papers) and Wound Healing and Treatments (2 papers). Davis Sim collaborates with scholars based in United States, South Korea and United Kingdom. Davis Sim's co-authors include Sharon M. Wahl, Wenwen Jin, Gillian S. Ashcroft, Jing Zhu, Carl Nathan, Hediye Erdjument‐Bromage, Clifford D. Wright, Paul Tempst, Aihao Ding and Lynne Lacomis and has published in prestigious journals such as Cell, The Journal of Immunology and The FASEB Journal.

In The Last Decade

Davis Sim

7 papers receiving 829 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.

Conversion of Proepithelin to Epithelins

2002 527 citations Jing Zhu, Carl Nathan et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davis Sim United States	6	265	199	189	159	155	7	838
F. Poron France	12	101 0.4×	153 0.8×	56 0.3×	66 0.4×	51 0.3×	16	676
Carine Bonnard Singapore	18	171 0.6×	461 2.3×	204 1.1×	62 0.4×	23 0.1×	40	1.2k
D Dormont France	9	47 0.2×	241 1.2×	432 2.3×	60 0.4×	58 0.4×	25	913
Hirokazu Yasuno Japan	21	33 0.1×	372 1.9×	119 0.6×	109 0.7×	66 0.4×	89	1.4k
Ernst R. Waelti Switzerland	15	72 0.3×	187 0.9×	131 0.7×	24 0.2×	64 0.4×	30	663
Alison E. John United Kingdom	22	87 0.3×	408 2.1×	426 2.3×	322 2.0×	18 0.1×	49	1.5k
Ingo Marenholz Germany	20	96 0.4×	1.1k 5.7×	470 2.5×	365 2.3×	40 0.3×	30	2.2k
Zhu Sweden	11	39 0.1×	248 1.2×	124 0.7×	36 0.2×	27 0.2×	98	833
Jeung Hoon Lee South Korea	14	49 0.2×	102 0.5×	93 0.5×	56 0.4×	67 0.4×	35	785
Chongye Guo China	11	73 0.3×	1.6k 8.1×	194 1.0×	78 0.5×	23 0.1×	16	2.0k

Countries citing papers authored by Davis Sim

Since Specialization

Citations

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

Fields of papers citing papers by Davis Sim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davis Sim

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Deshmukh, Umesh S., Davis Sim, Chao Dai, et al.. (2011). HLA-DR3 restricted T cell epitope mimicry in induction of autoimmune response to lupus-associated antigen SmD. Journal of Autoimmunity. 37(3). 254–262. 22 indexed citations

2.

Ashcroft, Gillian S., Moon‐Jin Jeong, Jason Ashworth, et al.. (2011). Tumor necrosis factor‐alpha (TNF‐α) is a therapeutic target for impaired cutaneous wound healing. Wound Repair and Regeneration. 20(1). 38–49. 228 indexed citations

3.

Sim, Davis, Harini Bagavant, Yogesh Scindia, et al.. (2009). Genetic Complementation Results in Augmented Autoantibody Responses to Lupus-Associated Antigens. The Journal of Immunology. 183(5). 3505–3511. 5 indexed citations

4.

Sim, Davis, et al.. (2008). Combination of multiple genes from lupus and diabetes prone mice leads to a novel mouse model for lupus. The FASEB Journal. 22(S1). 1 indexed citations

5.

Deshmukh, Umesh S., Harini Bagavant, Davis Sim, Vyankatesh Pidiyar, & Shu Man Fu. (2007). A SmD Peptide Induces Better Antibody Responses to Other Proteins within the Small Nuclear Ribonucleoprotein Complex than to SmD Protein via Intermolecular Epitope Spreading. The Journal of Immunology. 178(4). 2565–2571. 18 indexed citations

6.

Greenwell‐Wild, Teresa, Nancy Vázquez, Davis Sim, et al.. (2002). Mycobacterium avium Infection and Modulation of Human Macrophage Gene Expression. The Journal of Immunology. 169(11). 6286–6297. 37 indexed citations

7.

Zhu, Jing, Carl Nathan, Wenwen Jin, et al.. (2002). Conversion of Proepithelin to Epithelins. Cell. 111(6). 867–878. 527 indexed citations breakdown →

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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