Marcelo J. Pando
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- IL-33, ST2, and ILC Pathways
Papers in
-
- Renal Transplantation Outcomes and Treatments 11
- Immunology 20
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 12
- Reproductive System and Pregnancy 8
- Co-authors
- Peter ParhamWilliam H. CarrClair M. GardinerSteve MillerBrian S. SchwartzDouglas F. NixonPhillip NorrisLewis L. Lanier
- Journals
- The Journal of Immunology (5 papers)Human Immunology (4 papers)Transplantation (3 papers)Immunogenetics (2 papers)Hepatology (2 papers)
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Marcelo J. Pando
31 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Transplantation 221
- Immunology 1.6k
- Hepatology 266
- Hematology 230
- Virology 81
Countries citing papers authored by Marcelo J. Pando
This map shows the geographic impact of Marcelo J. Pando'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 Marcelo J. Pando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo J. Pando more than expected).
Fields of papers citing papers by Marcelo J. Pando
This network shows the impact of papers produced by Marcelo J. Pando. 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 Marcelo J. Pando. The network helps show where Marcelo J. Pando may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcelo J. Pando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2020 | 11 | |
| 3 | 2020 | 4 | |
| 4 | 2018 | 14 | |
| 5 | 2017 | 64 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 10 | |
| 8 | 2016 | 23 | |
| 9 | 2014 | 62 | |
| 10 | 2013 | 23 | |
| 11 | 2013 | 11 | |
| 12 | Expansion of a unique CD57 + NKG2C hi natural killer cell subset during acute human cytomegalovirus infection Hit paper breakdown → | 2011 | 618 |
| 13 | 2005 | 176 | |
| 14 | 2003 | 169 | |
| 15 | 2001 | 217 | |
| 16 | 2000 | 29 | |
| 17 | 2000 | 28 | |
| 18 | 2000 | 38 | |
| 19 | 1999 | 153 | |
| 20 | 1994 | 14 |
About Marcelo J. Pando
Marcelo J. Pando is a scholar working on Transplantation, Immunology, Hepatology, Nephrology and Gastroenterology, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (12 papers), Renal Transplantation Outcomes and Treatments (11 papers), Reproductive System and Pregnancy (8 papers), Transplantation: Methods and Outcomes (5 papers), Liver Diseases and Immunity (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Transplantation (221 citations), Immunology (1.6k citations), Hepatology (266 citations), Hematology (230 citations) and Virology (81 citations). Marcelo J. Pando has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Peter Parham, William H. Carr, Clair M. Gardiner, Steve Miller, Brian S. Schwartz, Douglas F. Nixon, Phillip Norris, Lewis L. Lanier, Vanessa A. York and Jeffrey M. Milush. Their work appears in journals such as The Journal of Immunology, Human Immunology, Transplantation, Immunogenetics and Hepatology.
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.