Remi Shih

517 total citations
9 papers, 386 citations indexed

About

Remi Shih is a scholar working on Nephrology, Oncology and Transplantation. According to data from OpenAlex, Remi Shih has authored 9 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 3 papers in Oncology and 3 papers in Transplantation. Recurrent topics in Remi Shih's work include Parathyroid Disorders and Treatments (4 papers), Bone health and treatments (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Remi Shih is often cited by papers focused on Parathyroid Disorders and Treatments (4 papers), Bone health and treatments (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Remi Shih collaborates with scholars based in United States and France. Remi Shih's co-authors include Kazuo Mizutani, Miyuki Ozawa, Paul I. Terasaki, Rui Pei, Jar-How Lee, Violet Esquenazi, Joshua Miller, Anne Rosén, Naoko Matsumoto and Norimoto Yanagawa and has published in prestigious journals such as Biochemical and Biophysical Research Communications, American Journal of Physiology-Endocrinology and Metabolism and Transplantation.

In The Last Decade

Remi Shih

8 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Remi Shih United States	7	235	141	140	104	39	9	386
Christopher M. Bearden United States	9	262 1.1×	165 1.2×	176 1.3×	105 1.0×	70 1.8×	9	504
H. Rodrigues Brazil	12	169 0.7×	122 0.9×	112 0.8×	51 0.5×	45 1.2×	37	408
M. Gokel Germany	7	283 1.2×	195 1.4×	214 1.5×	125 1.2×	50 1.3×	25	499
Anne Fuller United States	11	230 1.0×	268 1.9×	120 0.9×	52 0.5×	53 1.4×	13	446
Gonca E. Karahan Netherlands	14	275 1.2×	182 1.3×	147 1.1×	113 1.1×	78 2.0×	34	475
Angela Nocco Italy	13	366 1.6×	140 1.0×	307 2.2×	90 0.9×	102 2.6×	24	619
Velta A. Lazda United States	9	207 0.9×	81 0.6×	156 1.1×	58 0.6×	39 1.0×	24	339
Lauro Vasconcellos United States	4	276 1.2×	198 1.4×	234 1.7×	55 0.5×	111 2.8×	6	536
Odette A. Galera United States	8	139 0.6×	86 0.6×	117 0.8×	22 0.2×	120 3.1×	9	327
R. C. Walsh United States	12	596 2.5×	258 1.8×	357 2.5×	170 1.6×	93 2.4×	19	750

Countries citing papers authored by Remi Shih

Since Specialization

Citations

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

Fields of papers citing papers by Remi Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remi Shih

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

Bray, Robert A., Deepali Kumar, Remi Shih, et al.. (2020). Development and Validation of a Multiplex, Bead-based Assay to Detect Antibodies Directed Against SARS-CoV-2 Proteins. Transplantation. 105(1). 79–89. 30 indexed citations

2.

Bray, Robert A., Julie Nguyen, Remi Shih, et al.. (2019). OR1 Impact of Class II Invariant Chain Peptide (CLIP) in HLA alloantibody recognition. Human Immunology. 80. 7–8. 1 indexed citations

3.

Mizutani, Kazuo, Paul I. Terasaki, Remi Shih, et al.. (2006). Frequency of MIC Antibody in Rejected Renal Transplant Patients without HLA Antibody. Human Immunology. 67(3). 223–229. 58 indexed citations

4.

Rowe, Peter, Naoko Matsumoto, Oak D. Jo, et al.. (2006). Correction of the mineralization defect in hyp mice treated with protease inhibitors CA074 and pepstatin. Bone. 39(4). 773–786. 47 indexed citations

5.

Mizutani, Kazuo, Paul I. Terasaki, J. Bignon, et al.. (2006). Association of Kidney Transplant Failure and Antibodies Against MICA. Human Immunology. 67(9). 683–691. 56 indexed citations

6.

Matsumoto, Naoko, Oak D. Jo, Remi Shih, et al.. (2005). Increased cathepsin D release byHypmouse osteoblast cells. American Journal of Physiology-Endocrinology and Metabolism. 289(1). E123–E132. 10 indexed citations

7.

Matsumoto, Naoko, Oak D. Jo, Remi Shih, & Norimoto Yanagawa. (2005). Altered cathepsin D metabolism in PHEX antisense human osteoblast cells. Biochemical and Biophysical Research Communications. 332(1). 248–253. 7 indexed citations

8.

Mizutani, Kazuo, Paul I. Terasaki, Anne Rosén, et al.. (2005). Serial Ten‐Year Follow‐Up of HLA and MICA Antibody Production Prior to Kidney Graft Failure. American Journal of Transplantation. 5(9). 2265–2272. 177 indexed citations

9.

Yanagawa, Norimoto, et al.. (1999). Chloride dependency of renal brush-border membrane phosphate transport. American Journal of Physiology-Renal Physiology. 277(4). F506–F512.

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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