Joan Martell

497 total citations
10 papers, 413 citations indexed

About

Joan Martell is a scholar working on Immunology, Surgery and Transplantation. According to data from OpenAlex, Joan Martell has authored 10 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Surgery and 5 papers in Transplantation. Recurrent topics in Joan Martell's work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (3 papers) and T-cell and B-cell Immunology (3 papers). Joan Martell is often cited by papers focused on Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (3 papers) and T-cell and B-cell Immunology (3 papers). Joan Martell collaborates with scholars based in United States, Canada and Germany. Joan Martell's co-authors include René J. Duquesnoy, Alin Girnita, Adriana Zeevi, Thomas E. Starzl, Ron Shapiro, Mohammed R. Awad, George Mazariegos, Ignazio R. Marino, John McMichael and Timothy Gayowski and has published in prestigious journals such as Annals of Surgery, Transplantation and The Journal of Heart and Lung Transplantation.

In The Last Decade

Joan Martell

10 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joan Martell United States	7	281	226	137	78	52	10	413
Günther F. Hillebrand Germany	6	462 1.6×	270 1.2×	197 1.4×	29 0.4×	51 1.0×	11	551
Erik Stites United States	10	350 1.2×	252 1.1×	94 0.7×	24 0.3×	46 0.9×	15	465
Janka Slatinská Czechia	10	234 0.8×	105 0.5×	137 1.0×	24 0.3×	75 1.4×	38	369
Eva Santos‐Nunez United Kingdom	9	444 1.6×	255 1.1×	117 0.9×	23 0.3×	53 1.0×	12	484
Elaine Reed United States	5	320 1.1×	308 1.4×	124 0.9×	17 0.2×	78 1.5×	8	520
Noriko Ammerman United States	13	249 0.9×	168 0.7×	140 1.0×	16 0.2×	41 0.8×	22	466
Judith Worthington United Kingdom	11	577 2.1×	392 1.7×	166 1.2×	31 0.4×	66 1.3×	22	664
A. McLean United Kingdom	10	318 1.1×	139 0.6×	86 0.6×	40 0.5×	51 1.0×	16	508
Suresh Raghavaiah United States	7	476 1.7×	245 1.1×	314 2.3×	22 0.3×	42 0.8×	10	605
R. C. Walsh United States	12	596 2.1×	357 1.6×	258 1.9×	55 0.7×	93 1.8×	19	750

Countries citing papers authored by Joan Martell

Since Specialization

Citations

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

Fields of papers citing papers by Joan Martell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Martell

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

All Works

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10 of 10 papers shown

1.

Lunz, John G., et al.. (2011). 93-P Analysis of HLA antibody titer and C1q binding capability in Privigen and Carimune IVIG preparations. Human Immunology. 72. S78–S78. 1 indexed citations

2.

Martell, Joan, et al.. (2009). How did a patient who types for HLA-B*4403 develop antibodies that react with HLA-B*4402?. Human Immunology. 71(2). 176–178. 21 indexed citations

3.

Duquesnoy, René J., et al.. (2007). Retransplant candidates have donor-specific antibodies that react with structurally defined HLA-DR,DQ,DP epitopes. Transplant Immunology. 18(4). 352–360. 77 indexed citations

4.

Adeyi, Oyedele, Alin Girnita, Marilyn Marrari, et al.. (2005). Serum analysis after transplant nephrectomy reveals restricted antibody specificity patterns against structurally defined HLA class I mismatches. Transplant Immunology. 14(1). 53–62. 91 indexed citations

5.

Webber, Steven A., Gerard J. Boyle, Steven C. Gribar, et al.. (2002). Polymorphisms in cytokine genes do not predict progression to end-stage heart failure in children. Cardiology in the Young. 12(5). 461–464. 4 indexed citations

6.

Mazariegos, George, Jorgé Reyes, Steve Webber, et al.. (2002). Cytokine gene polymorphisms in children successfully withdrawn from immunosuppression after liver transplantation1. Transplantation. 73(8). 1342–1345. 34 indexed citations

7.

Awad, Mohammed R., Steven Webber, Joan Martell, et al.. (2001). The effect of cytokine gene polymorphisms on pediatric heart allograft outcome. The Journal of Heart and Lung Transplantation. 20(6). 625–630. 79 indexed citations

8.

Starzl, Thomas E., Michael Eliasziw, David W. Gjertson, et al.. (1997). HLA AND CROSS-REACTIVE ANTIGEN GROUP MATCHING FOR CADAVER KIDNEY ALLOCATION1. Transplantation. 64(7). 983–991. 36 indexed citations

9.

Doyle, Howard R., Ignazio R. Marino, Cataldo Doria, et al.. (1996). Assessing Risk in Liver Transplantation. Annals of Surgery. 224(2). 168–177. 69 indexed citations

10.

Lynen, R., et al.. (1990). T and Tk transformation in hemolytic uremic syndromes.. PubMed. 26. 409–11. 1 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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