FREDERIC I. PREFFER

498 total citations
8 papers, 405 citations indexed

About

FREDERIC I. PREFFER is a scholar working on Immunology, Transplantation and Immunology and Allergy. According to data from OpenAlex, FREDERIC I. PREFFER has authored 8 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Transplantation and 2 papers in Immunology and Allergy. Recurrent topics in FREDERIC I. PREFFER's work include Renal Transplantation Outcomes and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). FREDERIC I. PREFFER is often cited by papers focused on Renal Transplantation Outcomes and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). FREDERIC I. PREFFER collaborates with scholars based in United States and Japan. FREDERIC I. PREFFER's co-authors include A. Benedict Cosimi, Robert B. Colvin, F L Delmonico, Hugh Auchincloss, Nina Tolkoff-Rubin, Linda A. Scharschmidt, R B Colvin, Patrick C. Kung, Thomas Fuller and Bimalangshu R. Dey and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Transplantation and Human Pathology.

In The Last Decade

FREDERIC I. PREFFER

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
FREDERIC I. PREFFER United States	8	186	107	92	88	68	8	405
Dan Draganovici Germany	8	199 1.1×	37 0.3×	52 0.6×	71 0.8×	31 0.5×	8	417
K.J.M. Assmann Netherlands	10	194 1.0×	48 0.4×	19 0.2×	70 0.8×	37 0.5×	12	448
Truus P. M. Rijke Netherlands	7	292 1.6×	49 0.5×	12 0.1×	61 0.7×	34 0.5×	7	515
Cécile Contin France	4	140 0.8×	58 0.5×	34 0.4×	48 0.5×	7 0.1×	6	371
Willeke E.M. Schroeijers Netherlands	13	262 1.4×	49 0.5×	20 0.2×	65 0.7×	9 0.1×	15	409
Ana Maria Waaga United States	11	400 2.2×	16 0.1×	197 2.1×	72 0.8×	186 2.7×	15	659
Angela Rankin United Kingdom	10	217 1.2×	126 1.2×	42 0.5×	129 1.5×	6 0.1×	15	632
G Szegedi Hungary	14	344 1.8×	22 0.2×	37 0.4×	72 0.8×	5 0.1×	73	624
K Horie Japan	8	117 0.6×	24 0.2×	24 0.3×	64 0.7×	10 0.1×	8	509
Jean‐Pierre Girma France	16	326 1.8×	30 0.3×	108 1.2×	55 0.6×	14 0.2×	32	870

Countries citing papers authored by FREDERIC I. PREFFER

Since Specialization

Citations

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

Fields of papers citing papers by FREDERIC I. PREFFER

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by FREDERIC I. PREFFER. 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 FREDERIC I. PREFFER. The network helps show where FREDERIC I. PREFFER may publish in the future.

Co-authorship network of co-authors of FREDERIC I. PREFFER

This figure shows the co-authorship network connecting the top 25 collaborators of FREDERIC I. PREFFER. A scholar is included among the top collaborators of FREDERIC I. PREFFER 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 FREDERIC I. PREFFER. FREDERIC I. PREFFER 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

Dey, Bimalangshu R., Yong‐Guang Yang, FREDERIC I. PREFFER, et al.. (1999). THE FATE OF DONOR T-CELL RECEPTOR TRANSGENIC T CELLS WITH KNOWN HOST ANTIGEN SPECIFICITY IN A GRAFT-VERSUS-HOST DISEASE MODEL1. Transplantation. 68(1). 141–149. 34 indexed citations

PREFFER, FREDERIC I., et al.. (1994). A comparative study of flow cytometry and histopathologic findings in thyroid follicular carcinomas and adenomas. Human Pathology. 25(3). 271–275. 18 indexed citations

Centeno, Barbara A., et al.. (1994). Flow cytometric analysis of dna ploidy, percent S-phase fraction, and total proliferative fraction as prognostic indicators of local control and survival following radiation therapy for prostate carcinoma. International Journal of Radiation Oncology*Biology*Physics. 30(2). 309–315. 19 indexed citations

Powelson, John A., Robert W. Knowles, Francis L. Delmonico, et al.. (1994). CDR-GRAFTED OKT4A MONOCLONAL ANTIBODY IN CYNOMOLGUS RENAL ALLOGRAFT RECIPIENTS1,2. Transplantation. 57(6). 788–793. 19 indexed citations

Colvin, Robert B., F L Delmonico, Hugh Auchincloss, et al.. (1993). A PHASE I TRIAL OF IMMUNOSUPPRESSION WITH ANTIIC AM-1 (CD54) mAb IN RENAL ALLOGRAFT RECIPIENTS. Transplantation. 55(4). 766–772. 239 indexed citations

Wee, S., R B Colvin, FREDERIC I. PREFFER, et al.. (1989). Fc-RECEPTOR FOR MOUSE IgG1 (FCγRII) AND ANTIBODY-MEDIATED CELL CLEARANCE IN PATIENTS TREATED WITH Leu2a ANTIBODY. Transplantation. 48(6). 1012–1017. 24 indexed citations

Kradin, Richard L., et al.. (1989). Adoptive immunotherapy with IL-2 results in the loss of delayed-type hypersensitivity responses and the development of immediate hypersensitivity to recall antigens. Clinical Immunology and Immunopathology. 50(2). 184–195. 15 indexed citations

Colvin, R B, FREDERIC I. PREFFER, Thomas Fuller, et al.. (1989). A CRITICAL ANALYSIS OF SERUM AND URINE INTERLEUKIN-2 RECEPTOR ASSAYS IN RENAL ALLOGRAFT RECIPIENTS1,2. Transplantation. 48(5). 800–804. 37 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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