Sudha W. Mitra

3.3k total citations · 2 hit papers
17 papers, 2.3k citations indexed

About

Sudha W. Mitra is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Sudha W. Mitra has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Sudha W. Mitra's work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers) and Estrogen and related hormone effects (3 papers). Sudha W. Mitra is often cited by papers focused on HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (3 papers) and Estrogen and related hormone effects (3 papers). Sudha W. Mitra collaborates with scholars based in United States, Hungary and United Kingdom. Sudha W. Mitra's co-authors include David Baltimore, Eli Gilboa, Stephen P. Goff, James M. Schaeffer, Hilary Wilkinson, Joel B. Yudkovitz, Shinji Hayashi, Elena Hoskin, Sonoko Ogawa and Stephen E. Alves and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sudha W. Mitra

17 papers receiving 2.1k citations

Hit Papers

Immunolocalization of Est... 1979 2026 1994 2010 2003 1979 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudha W. Mitra United States 14 1.1k 813 516 415 410 17 2.3k
Jonathan G. Scammell United States 25 1.4k 1.3× 366 0.5× 186 0.4× 589 1.4× 72 0.2× 75 2.6k
Curtis A. Machida United States 23 1.3k 1.2× 277 0.3× 123 0.2× 83 0.2× 104 0.3× 59 2.2k
Peter Weber United States 26 1.3k 1.3× 570 0.7× 129 0.3× 69 0.2× 54 0.1× 78 2.8k
Regine Heilbronn Germany 35 1.7k 1.7× 1.7k 2.1× 82 0.2× 36 0.1× 464 1.1× 73 3.3k
André Pillez France 16 510 0.5× 61 0.1× 95 0.2× 98 0.2× 167 0.4× 25 2.0k
D. C. Gajdusek United States 30 2.3k 2.2× 169 0.2× 86 0.2× 66 0.2× 537 1.3× 79 3.7k
I. Seif France 15 496 0.5× 177 0.2× 242 0.5× 22 0.1× 132 0.3× 26 1.2k
Toshiyuki Yamaji Japan 27 1.6k 1.6× 148 0.2× 47 0.1× 68 0.2× 207 0.5× 63 2.6k
Vivian Jonas United States 10 1.2k 1.1× 162 0.2× 17 0.0× 258 0.6× 353 0.9× 11 2.6k
Robert B. Norgren United States 21 581 0.6× 246 0.3× 57 0.1× 82 0.2× 33 0.1× 50 1.4k

Countries citing papers authored by Sudha W. Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Sudha W. Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudha W. Mitra. 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 Sudha W. Mitra. The network helps show where Sudha W. Mitra may publish in the future.

Co-authorship network of co-authors of Sudha W. Mitra

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

All Works

17 of 17 papers shown
1.
Freeman, Simon, et al.. (2005). Expression of somatostatin receptors in arginine vasopressin hormone-secreting olfactory neuroblastoma--report of two cases.. PubMed. 43(1). 61–5. 9 indexed citations
2.
Mitra, Sudha W., Elena Hoskin, Joel B. Yudkovitz, et al.. (2003). Immunolocalization of Estrogen Receptor β in the Mouse Brain: Comparison with Estrogen Receptor α. Endocrinology. 144(5). 2055–2067. 715 indexed citations breakdown →
3.
Wilkinson, Hilary, Johanna Dahllund, Hao Liu, et al.. (2002). Identification and Characterization of a Functionally Distinct Form of Human Estrogen Receptor β. Endocrinology. 143(4). 1558–1558. 27 indexed citations
4.
Mitra, Sudha W., Éva Mezey, Béla Hunyady, et al.. (1999). Colocalization of Somatostatin Receptor sst5 and Insulin in Rat Pancreatic β-Cells*. Endocrinology. 140(8). 3790–3796. 76 indexed citations
5.
Mezey, Éva, Béla Hunyady, Sudha W. Mitra, et al.. (1998). Cell Specific Expression of the SST2A and SST5 Somatostatin Receptors in the Rat Anterior Pituitary. Endocrinology. 139(1). 414–419. 66 indexed citations
6.
Zhou, Gaochao, Richard Cummings, Ying Li, et al.. (1998). Nuclear Receptors Have Distinct Affinities for Coactivators: Characterization by Fluorescence Resonance Energy Transfer. Molecular Endocrinology. 12(10). 1594–1604. 147 indexed citations
7.
Ellsworth, Kenneth, B. Azzolina, Walter F. Baginsky, et al.. (1996). MK386: a potent, selective inhibitor of the human type 1 5α-reductase. The Journal of Steroid Biochemistry and Molecular Biology. 58(4). 377–384. 25 indexed citations
8.
Weinberg, David H., Pankaj Trivedi, Carina P. Tan, et al.. (1994). Cloning, Expression and Characterization of Human α Adrenergic Receptors α1a, α1b and α1c. Biochemical and Biophysical Research Communications. 201(3). 1296–1304. 94 indexed citations
9.
Linemeyer, David L., et al.. (1985). Molecular cloning and partial sequencing of hepatitis A viral cDNA. Journal of Virology. 54(2). 247–255. 58 indexed citations
10.
Mitra, Sudha W., M Chow, James J. Champoux, & David Baltimore. (1982). Synthesis of murine leukemia virus plus strong stop DNA initiates at a unique site.. Journal of Biological Chemistry. 257(11). 5983–5986. 49 indexed citations
11.
Shoemaker, Charles B., et al.. (1981). Structure of Cloned Retrovirus Circular DNAs: Implications for Virus Integration. Cold Spring Harbor Symposia on Quantitative Biology. 45(0). 711–717. 11 indexed citations
12.
Shoemaker, Charles B., Stephen P. Goff, Eli Gilboa, et al.. (1980). Structure of a cloned circular Moloney murine leukemia virus DNA molecule containing an inverted segment: implications for retrovirus integration.. Proceedings of the National Academy of Sciences. 77(7). 3932–3936. 228 indexed citations
13.
Gilboa, Eli, Sudha W. Mitra, Stephen P. Goff, & David Baltimore. (1979). A detailed model of reverse transcription and tests of crucial aspects. Cell. 18(1). 93–100. 539 indexed citations breakdown →
14.
Gilboa, Eli, Stephen P. Goff, Anthony F. Shields, et al.. (1979). In vitro synthesis of a 9 kbp terminally redundant DNA carrying the infectivity of moloney murine leukemia virus. Cell. 16(4). 863–874. 167 indexed citations
15.
Mitra, Sudha W., Stephen P. Goff, Eli Gilboa, & David Baltimore. (1979). Synthesis of a 600-nucleotide-long plus-strand DNA by virions of Moloney murine leukemia virus.. Proceedings of the National Academy of Sciences. 76(9). 4355–4359. 50 indexed citations
16.
Lavelle, G. C. & Sudha W. Mitra. (1977). Double-helical regions in Kilham rat virus DNA. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 indexed citations
17.
Mitra, Sudha W., Geoffrey Zubay, & Arthur Landy. (1975). Evidence for the preferential binding of the catabolite gene activator protein (CAP) to DNA containing the lac promoter. Biochemical and Biophysical Research Communications. 67(3). 857–863. 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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