Mark G.P. Saifer

780 total citations
8 papers, 574 citations indexed

About

Mark G.P. Saifer is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mark G.P. Saifer has authored 8 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Nephrology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mark G.P. Saifer's work include Methemoglobinemia and Tumor Lysis Syndrome (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Mark G.P. Saifer is often cited by papers focused on Methemoglobinemia and Tumor Lysis Syndrome (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Mark G.P. Saifer collaborates with scholars based in United States and Spain. Mark G.P. Saifer's co-authors include Merry R. Sherman, Fernando Pérez-Ruiz, L. David Williams, Monika Sobczyk, Thomas M. Coffman, Michael S. Hershfield, G. Allan Johnson, Susan J. Kelly, Michael I. Oliverio and Marielle Delnomdedieu and has published in prestigious journals such as Advanced Drug Delivery Reviews, Journal of the American Society of Nephrology and Bioconjugate Chemistry.

In The Last Decade

Mark G.P. Saifer

8 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark G.P. Saifer United States	7	278	162	127	99	82	8	574
Edna Scarlett United States	4	310 1.1×	275 1.7×	157 1.2×	146 1.5×	155 1.9×	5	779
Nancy J. Ganson United States	13	518 1.9×	285 1.8×	250 2.0×	189 1.9×	187 2.3×	14	1.2k
Zheng Pan China	10	227 0.8×	115 0.7×	106 0.8×	38 0.4×	78 1.0×	28	764
Denise Jaggers United States	5	138 0.5×	109 0.7×	60 0.5×	64 0.6×	50 0.6×	9	362
Maytê Bolean Brazil	19	391 1.4×	90 0.6×	79 0.6×	19 0.2×	68 0.8×	37	880
Yen-Ling Lin United States	6	142 0.5×	160 1.0×	53 0.4×	47 0.5×	103 1.3×	6	1.1k
Melinda Marian United States	6	182 0.7×	17 0.1×	56 0.4×	66 0.7×	51 0.6×	7	655
Jenny Sörensson Sweden	12	237 0.9×	340 2.1×	46 0.4×	15 0.2×	59 0.7×	14	731
Guan Zhang China	14	100 0.4×	24 0.1×	80 0.6×	27 0.3×	148 1.8×	52	579
Taicheng Lu China	14	139 0.5×	69 0.4×	47 0.4×	80 0.8×	15 0.2×	28	468

Countries citing papers authored by Mark G.P. Saifer

Since Specialization

Citations

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

Fields of papers citing papers by Mark G.P. Saifer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G.P. Saifer. 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 Mark G.P. Saifer. The network helps show where Mark G.P. Saifer may publish in the future.

Co-authorship network of co-authors of Mark G.P. Saifer

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

All Works

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8 of 8 papers shown

Saifer, Mark G.P., et al.. (2013). Selectivity of binding of PEGs and PEG-like oligomers to anti-PEG antibodies induced by methoxyPEG-proteins. Molecular Immunology. 57(2). 236–246. 88 indexed citations

Sherman, Merry R., et al.. (2012). Role of the Methoxy Group in Immune Responses to mPEG-Protein Conjugates. Bioconjugate Chemistry. 23(3). 485–499. 138 indexed citations

Sherman, Merry R., Mark G.P. Saifer, & Fernando Pérez-Ruiz. (2007). PEG-uricase in the management of treatment-resistant gout and hyperuricemia. Advanced Drug Delivery Reviews. 60(1). 59–68. 218 indexed citations

Kelly, Susan J., Marielle Delnomdedieu, Michael I. Oliverio, et al.. (2001). Diabetes Insipidus in Uricase-Deficient Mice: A Model for Evaluating Therapy with Poly(Ethylene Glycol)-Modified Uricase. Journal of the American Society of Nephrology. 12(5). 1001–1009. 68 indexed citations

Saifer, Mark G.P., et al.. (1997). Improved conjugation of cytokines using high molecular weight poly(ethylene glycol): PEG-GM-CSF as a prototype. 38(1). 576–577. 3 indexed citations

Smith, Richard, Frank M. Balis, Kenneth Ott, et al.. (1995). Pharmacokinetics and tolerability of ventricularly administered superoxide dismutase in monkeys and preliminary clinical observations in familial ALS. Journal of the Neurological Sciences. 129. 13–18. 10 indexed citations

Saifer, Mark G.P., et al.. (1994). Plasma Clearance and Immunologic Properties of Long-Acting Superoxide Dismutase Prepared Using 35,000 to 120,000 Dalton Poly-Ethylene Glycol. Advances in experimental medicine and biology. 366. 377–387. 23 indexed citations

Saifer, Mark G.P., et al.. (1991). Preparation of Long-Acting Superoxide Dismutase Using High Molecular Weight Polyethylene Glycol (41,000-72,000 Daltons). Free Radical Research Communications. 13(1). 553–562. 26 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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