Narda Whiting‐Theobald

1.4k total citations
20 papers, 779 citations indexed

About

Narda Whiting‐Theobald is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Narda Whiting‐Theobald has authored 20 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 14 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Narda Whiting‐Theobald's work include Virus-based gene therapy research (14 papers), CAR-T cell therapy research (10 papers) and RNA Interference and Gene Delivery (6 papers). Narda Whiting‐Theobald is often cited by papers focused on Virus-based gene therapy research (14 papers), CAR-T cell therapy research (10 papers) and RNA Interference and Gene Delivery (6 papers). Narda Whiting‐Theobald collaborates with scholars based in United States, Germany and Japan. Narda Whiting‐Theobald's co-authors include Harry L. Malech, Gilda F. Linton, Uimook Choi, Toshinao Kawai, Sebastian Brenner, Philip M. Murphy, Suk See De Ravin, Joan M. G. Sechler, Nora Naumann and Sudhir Sekhsaria and has published in prestigious journals such as Blood, Stem Cells and Molecular Therapy.

In The Last Decade

Narda Whiting‐Theobald

20 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narda Whiting‐Theobald United States 14 370 340 332 321 109 20 779
Nancy Pech United States 15 278 0.8× 398 1.2× 299 0.9× 217 0.7× 143 1.3× 26 764
Irina Kondratenko Russia 13 377 1.0× 361 1.1× 470 1.4× 190 0.6× 80 0.7× 25 872
Chantal Lagresle‐Peyrou France 21 436 1.2× 567 1.7× 575 1.7× 288 0.9× 109 1.0× 35 1.2k
Brian Barnett United States 15 358 1.0× 565 1.7× 383 1.2× 542 1.7× 97 0.9× 34 1.2k
Alex W. Tong United States 16 464 1.3× 298 0.9× 644 1.9× 448 1.4× 78 0.7× 26 1.2k
George Buchlis United States 13 339 0.9× 287 0.8× 459 1.4× 367 1.1× 50 0.5× 15 869
Jiahua Qian United States 17 351 0.9× 400 1.2× 312 0.9× 333 1.0× 366 3.4× 31 1.1k
Gilda F. Linton United States 15 420 1.1× 506 1.5× 407 1.2× 347 1.1× 263 2.4× 24 1.1k
Chantal Martinache France 9 342 0.9× 255 0.8× 372 1.1× 239 0.7× 39 0.4× 14 707
Pin-Yi Wang United States 14 327 0.9× 257 0.8× 258 0.8× 331 1.0× 93 0.9× 32 792

Countries citing papers authored by Narda Whiting‐Theobald

Since Specialization
Citations

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

Fields of papers citing papers by Narda Whiting‐Theobald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narda Whiting‐Theobald. 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 Narda Whiting‐Theobald. The network helps show where Narda Whiting‐Theobald may publish in the future.

Co-authorship network of co-authors of Narda Whiting‐Theobald

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

All Works

20 of 20 papers shown
1.
Ravin, Suk See De, Edward W. Cowen, Kol A. Zarember, et al.. (2010). Hypomorphic Rag mutations can cause destructive midline granulomatous disease. Blood. 116(8). 1263–1271. 76 indexed citations
2.
Malech, Harry L., Gilda F. Linton, Narda Whiting‐Theobald, et al.. (2008). Update on gene therapy for Chronic Granulomatous Disease: Current studies and future approaches. Blood Cells Molecules and Diseases. 40(2). 274–275. 2 indexed citations
3.
4.
Naumann, Nora, Suk See De Ravin, Uimook Choi, et al.. (2007). Simian immunodeficiency virus lentivector corrects human X-linked chronic granulomatous disease in the NOD/SCID mouse xenograft. Gene Therapy. 14(21). 1513–1524. 21 indexed citations
5.
6.
Chinen, Javier, Joie Davis, Suk See De Ravin, et al.. (2007). Gene therapy improves immune function in preadolescents with X-linked severe combined immunodeficiency. Blood. 110(1). 67–73. 63 indexed citations
7.
Brenner, Sebastian, Martin Ryser, Uimook Choi, et al.. (2006). Polyclonal Long-Term MFGS-gp91phox Marking in Rhesus Macaques after Nonmyeloablative Transplantation with Transduced Autologous Peripheral Blood Progenitor Cells. Molecular Therapy. 14(2). 202–211. 8 indexed citations
8.
Kawai, Toshinao, Uimook Choi, Suk See De Ravin, et al.. (2006). WHIM syndrome myelokathexis reproduced in the NOD/SCID mouse xenotransplant model engrafted with healthy human stem cells transduced with C-terminus–truncated CXCR4. Blood. 109(1). 78–84. 61 indexed citations
9.
Kawai, Toshinao, Uimook Choi, Narda Whiting‐Theobald, et al.. (2005). Enhanced function with decreased internalization of carboxy-terminus truncated CXCR4 responsible for WHIM syndrome. Experimental Hematology. 33(4). 460–468. 69 indexed citations
10.
Naumann, Nora, Jeffrey S. Kennedy, Uimook Choi, et al.. (2005). Correction of canine X-linked severe combined immunodeficiency by in vivo retroviral gene therapy. Blood. 107(8). 3091–3097. 33 indexed citations
11.
Choi, Uimook, Suk See De Ravin, Kouhei Yamashita, et al.. (2004). Nuclear-localizing O6-benzylguanine-resistant GFP-MGMT fusion protein as a novel in vivo selection marker. Experimental Hematology. 32(8). 709–719. 9 indexed citations
12.
Brenner, Sebastian, Narda Whiting‐Theobald, Toshinao Kawai, et al.. (2004). CXCR4‐Transgene Expression Significantly Improves Marrow Engraftment of Cultured Hematopoietic Stem Cells. Stem Cells. 22(7). 1128–1133. 94 indexed citations
13.
14.
Rosenzweig, Michael, Thomas J. MacVittie, David M. Harper, et al.. (1999). Efficient and Durable Gene Marking of Hematopoietic Progenitor Cells in Nonhuman Primates After Nonablative Conditioning. Blood. 94(7). 2271–2286. 86 indexed citations
15.
Linton, Gilda F., Narda Whiting‐Theobald, Sarah J. Vowells, et al.. (1997). Genetic Correction of p67phox Deficient Chronic Granulomatous Disease Using Peripheral Blood Progenitor Cells as a Target for Retrovirus Mediated Gene Transfer. Blood. 89(5). 1754–1761. 3 indexed citations
16.
Linton, Gilda F., Narda Whiting‐Theobald, Sarah J. Vowells, et al.. (1997). Genetic Correction of p67phox Deficient Chronic Granulomatous Disease Using Peripheral Blood Progenitor Cells as a Target for Retrovirus Mediated Gene Transfer. Blood. 89(5). 1754–1761. 33 indexed citations
17.
Sokolic, Robert, Sudhir Sekhsaria, Y. Sugimoto, et al.. (1996). A bicistronic retrovirus vector containing a picornavirus internal ribosome entry site allows for correction of X-linked CGD by selection for MDR1 expression. Blood. 87(1). 42–50. 1 indexed citations
18.
Sokolic, Robert, Sudhir Sekhsaria, Y. Sugimoto, et al.. (1996). A bicistronic retrovirus vector containing a picornavirus internal ribosome entry site allows for correction of X-linked CGD by selection for MDR1 expression. Blood. 87(1). 42–50. 48 indexed citations
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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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